Pub Date : 2025-02-01Epub Date: 2024-10-07DOI: 10.1016/j.jterra.2024.101019
Hannah White , Corina Sandu , Jyotirmoy Mukherjee , Andrea L’Afflitto , David Gorsich , Michael Cole
In the modern world the use of autonomous vehicles is growing more and more common. There are many applications for autonomous vehicles on deformable terrain, such as in military, farming, and mining but the problem with most established autonomous vehicle models is that they do not take into account the effect the terrain has on vehicle performance. To be able to accurately include these values in the vehicle model, they need to be directly sensed or estimated. One of the most valuable of these values is the tire sinkage. Tire sinkage is very important when it comes to terrain-vehicle interaction. The slip-sinkage relationship is an important factor in tractive performance. This paper is part of a larger project that is working on autonomy in conditions with deformable terrain and this paper presents on the methods employed to measure and find important values for the terramechanics of the model. This study specifically focuses on measuring the rut depth left behind after a tire travels over the terrain using a set of two stereo cameras. The sinkage is then used to be able to find the entry angle of the tire in the terrain.
{"title":"Tire sinkage measurement and entry angle calculation using stereo cameras","authors":"Hannah White , Corina Sandu , Jyotirmoy Mukherjee , Andrea L’Afflitto , David Gorsich , Michael Cole","doi":"10.1016/j.jterra.2024.101019","DOIUrl":"10.1016/j.jterra.2024.101019","url":null,"abstract":"<div><div>In the modern world the use of autonomous vehicles is growing more and more common. There are many applications for autonomous vehicles on deformable terrain, such as in military, farming, and mining but the problem with most established autonomous vehicle models is that they do not take into account the effect the terrain has on vehicle performance. To be able to accurately include these values in the vehicle model, they need to be directly sensed or estimated. One of the most valuable of these values is the tire sinkage. Tire sinkage is very important when it comes to terrain-vehicle interaction. The slip-sinkage relationship is an important factor in tractive performance. This paper is part of a larger project that is working on autonomy in conditions with deformable terrain and this paper presents on the methods employed to measure and find important values for the terramechanics of the model. This study specifically focuses on measuring the rut depth left behind after a tire travels over the terrain using a set of two stereo cameras. The sinkage is then used to be able to find the entry angle of the tire in the terrain.</div></div>","PeriodicalId":50023,"journal":{"name":"Journal of Terramechanics","volume":"117 ","pages":"Article 101019"},"PeriodicalIF":2.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142423780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01Epub Date: 2024-10-09DOI: 10.1016/j.jterra.2024.101022
Yan Shen , Dong Pan , Hongtao Cao , Baofeng Yuan , Yang Jia , Lianbin He , Meng Zou
The complexity of image scene information presents challenges for the trafficability assessment and path planning of Mars rovers. To ensure the operational safety of Mars rovers and extract terrain features from complex image scenes, this paper develops an end-to-end deep learning model, using the deep convolutional neural networks ResNet50 and DeepLabV3 + as the framework, with images from the Zhurong rover’s navigation camera as the training and test datasets. A deep learning model suitable for classification and segmentation of terrain in the Mars Utopia Planitia region has been established and applied to planetary geology research. The classification accuracy of model exceeds 83.90 % and segmentation accuracy exceeds 80 %. Subsequently, an analysis of 1309 raw images from the navigation camera yielded 203,744 individual estimates of rock abundance, the model evaluates the rock abundance in the Utopia Planitia region, where the Zhurong rover is located, at 10.94 %. The terrain classification model proposed in this study provides both engineering and scientific value for future rovers on the Utopia Planitia.
{"title":"Terrain classification and rock abundance analysis at Utopia Planitia using Zhurong image data based on deep learning algorithms","authors":"Yan Shen , Dong Pan , Hongtao Cao , Baofeng Yuan , Yang Jia , Lianbin He , Meng Zou","doi":"10.1016/j.jterra.2024.101022","DOIUrl":"10.1016/j.jterra.2024.101022","url":null,"abstract":"<div><div>The complexity of image scene information presents challenges for the trafficability assessment and path planning of Mars rovers. To ensure the operational safety of Mars rovers and extract terrain features from complex image scenes, this paper develops an end-to-end deep learning model, using the deep convolutional neural networks ResNet50 and DeepLabV3 + as the framework, with images from the Zhurong rover’s navigation camera as the training and test datasets. A deep learning model suitable for classification and segmentation of terrain in the Mars Utopia Planitia region has been established and applied to planetary geology research. The classification accuracy of model exceeds 83.90 % and segmentation accuracy exceeds 80 %. Subsequently, an analysis of 1309 raw images from the navigation camera yielded 203,744 individual estimates of rock abundance, the model evaluates the rock abundance in the Utopia Planitia region, where the Zhurong rover is located, at 10.94 %. The terrain classification model proposed in this study provides both engineering and scientific value for future rovers on the Utopia Planitia.</div></div>","PeriodicalId":50023,"journal":{"name":"Journal of Terramechanics","volume":"117 ","pages":"Article 101022"},"PeriodicalIF":2.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142423783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01Epub Date: 2024-11-22DOI: 10.1016/j.jterra.2024.101026
Adewale M. Sedara , Mohamed A.A. Abdeldayem , Francisco Pratas Glycerio de Freitas , Tekeste Z. Mehari
The study highlights the need for effective and efficient methods in designing tillage shanks to alleviate deep soil compaction, especially in wet soil conditions. Current techniques relying on full-scale tillage tools testing are prone to costly and time-consuming engineering product development cycles. DEM simulation of soil-to-shank interaction was utilized for screening twelve geometrically scaled (1:5.63) shanks to top-ranked six shanks, aiming reduced soil horizontal forces and maximum bulk density difference. Six scaled shanks (a straight, a bent, and four paraplow shapes) were fabricated and tested using a split-plot design soil bin experiment on cohesive-frictional artificial soil to investigate their performances on soil reaction forces and soil loosening parameters. Shank design had significant effects (p < 0.05) on energy responses (soil horizontal and vertical reaction forces), above-ground soil loosening (cross-sectional area, trench width, bulk density difference), and below-ground soil loosening (soil rupture area, D1 and D2) parameters. Using an optimization profiler, S-3 (β = 60°, α = 45°) demonstrated the best overall desirability score (0.58) with objectives reducing soil reaction forces and maximizing soil loosening. Manufacturing the S-3 to a full scale is proposed for evaluating its efficiency in tillage energy and soil loosening on field soil conditions for subsoil compaction management.
{"title":"Optimization of subsoiler design using similitude-based DEM simulation and soil bin testing on cohesive-frictional artificial soil","authors":"Adewale M. Sedara , Mohamed A.A. Abdeldayem , Francisco Pratas Glycerio de Freitas , Tekeste Z. Mehari","doi":"10.1016/j.jterra.2024.101026","DOIUrl":"10.1016/j.jterra.2024.101026","url":null,"abstract":"<div><div>The study highlights the need for effective and efficient methods in designing tillage shanks to alleviate deep soil compaction, especially in wet soil conditions. Current techniques relying on full-scale tillage tools testing are prone to costly and time-consuming engineering product development cycles. DEM simulation of soil-to-shank interaction was utilized for screening twelve geometrically scaled (1:5.63) shanks to top-ranked six shanks, aiming reduced soil horizontal forces and maximum bulk density difference. Six scaled shanks (a straight, a bent, and four paraplow shapes) were fabricated and tested using a split-plot design soil bin experiment on cohesive-frictional artificial soil to investigate their performances on soil reaction forces and soil loosening parameters. Shank design had significant effects (<em>p</em> < 0.05) on energy responses (soil horizontal and vertical reaction forces), above-ground soil loosening (cross-sectional area, trench width, bulk density difference), and below-ground soil loosening (soil rupture area, D1 and D2) parameters. Using an optimization profiler, S-3 (β = 60°, α = 45°) demonstrated the best overall desirability score (0.58) with objectives reducing soil reaction forces and maximizing soil loosening. Manufacturing the S-3 to a full scale is proposed for evaluating its efficiency in tillage energy and soil loosening on field soil conditions for subsoil compaction management.</div></div>","PeriodicalId":50023,"journal":{"name":"Journal of Terramechanics","volume":"117 ","pages":"Article 101026"},"PeriodicalIF":2.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142700793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01Epub Date: 2024-11-05DOI: 10.1016/j.jterra.2024.101029
Mohamed A.A. Abdeldayem , Mehari Z. Tekeste
The discrete element method (DEM) has become a valuable computational technique for simulating soil dynamic loading during bulldozer cutting processes. It allows for the virtual design of Ground Engaging Tools (GETs) and predicting energy expenditure during earthmoving operations. Few studies exist for modeling dynamic soil-cutting processes of soils exhibiting elasto-plastic behavior with stress-history-dependent cohesive soil behavior. The study aimed to calibrate an elasto-plastic DEM soil model, with cohesion, for a cohesive-frictional artificial soil and predict soil reaction forces from soil-to-blade interaction. Plackett-Burman screening design of experiment (DOE) and inverse profiling techniques were applied to calibrate the elasto-plastic DEM soil model, with cohesion, predicting soil compaction energy with a percent relative error (PRE) of 3 % and maximum normal stress (PRE of 1 %) using cohesive-frictional artificial soil in a uniaxial confined compression test. Validation of the calibrated DEM soil model resulted in good prediction of soil reaction forces versus blade displacement for a narrow planar blade, a wide planer blade, and a geometrically scaled curved bulldozer blade, with RMSE values of 2.04 N, 14.89 N, and 7.42 N, respectively. The findings showed that elasto-plastic soil behavior with stress-dependent cohesion can be modeled using DEM for simulating the cutting and moving of earthen materials, offering valuable insights for optimizing GET design and development of digital twins of earthmoving operations.
离散元素法（DEM）已成为模拟推土机切割过程中土壤动态载荷的重要计算技术。它可以虚拟设计地面掘进工具 (GET)，并预测推土作业过程中的能量消耗。针对具有弹塑性行为和应力历史依赖性粘性土壤行为的土壤动态切削过程建模的研究很少。本研究旨在校准具有内聚力的弹塑性 DEM 土壤模型，用于内聚摩擦人造土壤，并预测土壤与刀片相互作用产生的土壤反作用力。应用 Plackett-Burman 筛选实验设计（DOE）和反剖面技术校准了具有内聚力的弹塑性 DEM 土壤模型，在单轴约束压缩试验中使用内聚摩擦人造土壤预测土壤压实能，相对误差百分比（PRE）为 3%，最大法向应力（PRE 为 1%）为 1%。对校准的 DEM 土壤模型进行验证后，可以很好地预测窄平面叶片、宽平面叶片和几何比例弯曲推土机叶片的土壤反力与叶片位移的关系，RMSE 值分别为 2.04 N、14.89 N 和 7.42 N。研究结果表明，可以使用 DEM 模拟土质材料的切割和移动，对具有应力相关内聚力的弹塑性土壤行为进行建模，从而为优化 GET 设计和开发土方工程数字孪生模型提供宝贵的见解。
{"title":"Simulation of cohesive-frictional artificial soil-to-blade interactions using an elasto-plastic discrete element model with stress-dependent cohesion","authors":"Mohamed A.A. Abdeldayem , Mehari Z. Tekeste","doi":"10.1016/j.jterra.2024.101029","DOIUrl":"10.1016/j.jterra.2024.101029","url":null,"abstract":"<div><div>The discrete element method (DEM) has become a valuable computational technique for simulating soil dynamic loading during bulldozer cutting processes. It allows for the virtual design of Ground Engaging Tools (GETs) and predicting energy expenditure during earthmoving operations. Few studies exist for modeling dynamic soil-cutting processes of soils exhibiting elasto-plastic behavior with stress-history-dependent cohesive soil behavior. The study aimed to calibrate an elasto-plastic DEM soil model, with cohesion, for a cohesive-frictional artificial soil and predict soil reaction forces from soil-to-blade interaction. Plackett-Burman screening design of experiment (DOE) and inverse profiling techniques were applied to calibrate the elasto-plastic DEM soil model, with cohesion, predicting soil compaction energy with a percent relative error (PRE) of 3 % and maximum normal stress (PRE of 1 %) using cohesive-frictional artificial soil in a uniaxial confined compression test. Validation of the calibrated DEM soil model resulted in good prediction of soil reaction forces versus blade displacement for a narrow planar blade, a wide planer blade, and a geometrically scaled curved bulldozer blade, with RMSE values of 2.04 N, 14.89 N, and 7.42 N, respectively. The findings showed that elasto-plastic soil behavior with stress-dependent cohesion can be modeled using DEM for simulating the cutting and moving of earthen materials, offering valuable insights for optimizing GET design and development of digital twins of earthmoving operations.</div></div>","PeriodicalId":50023,"journal":{"name":"Journal of Terramechanics","volume":"117 ","pages":"Article 101029"},"PeriodicalIF":2.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142586615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01Epub Date: 2024-11-02DOI: 10.1016/j.jterra.2024.101023
David Gorsich , Vladimir Vantsevich , Jesse Paldan , Lee Moradi
For many decades, different approaches, fundamentals, and expressions have been developed in various countries for military vehicle modelling and simulation (M&S) as a core component of ground vehicle design for mobility. The political division of the world into the West and East that existed before the Soviet Union breakdown in 1991 had not facilitated collaboration between researchers and engineers of both sides, and, thus, they created and practiced their own approaches. The war in Ukraine urgently prompted analysis of the origins and essence of the Western and Eastern technical paradigms, which being conceptually different to ground vehicle mobility, had predetermined the development of vehicle M&S methods and techniques in their parts of the world, specifically for studying dynamic interactions of vehicles with severely uncertain terrains, which impact vehicle behavior and performance, and, thus, may either facilitate mission accomplishment or lead to its failure. Furthermore, this analysis of the technical paradigms aims to further advance M&S fundamentals for next generation combat vehicles as described in the U.S. Army’s 2019 Modernization Strategy. Part I of this article considers the Eastern approach and the Western approach is presented in Part II.
{"title":"Modelling and simulation fundamentals in design for ground vehicle mobility Part II: Western approach","authors":"David Gorsich , Vladimir Vantsevich , Jesse Paldan , Lee Moradi","doi":"10.1016/j.jterra.2024.101023","DOIUrl":"10.1016/j.jterra.2024.101023","url":null,"abstract":"<div><div>For many decades, different approaches, fundamentals, and expressions have been developed in various countries for military vehicle modelling and simulation (M&S) as a core component of ground vehicle design for mobility. The political division of the world into the West and East that existed before the Soviet Union breakdown in 1991 had not facilitated collaboration between researchers and engineers of both sides, and, thus, they created and practiced their own approaches. The war in Ukraine urgently prompted analysis of the origins and essence of the Western and Eastern technical paradigms, which being conceptually different to ground vehicle mobility, had predetermined the development of vehicle M&S methods and techniques in their parts of the world, specifically for studying dynamic interactions of vehicles with severely uncertain terrains, which impact vehicle behavior and performance, and, thus, may either facilitate mission accomplishment or lead to its failure. Furthermore, this analysis of the technical paradigms aims to further advance M&S fundamentals for next generation combat vehicles as described in the U.S. Army’s 2019 Modernization Strategy. Part I of this article considers the Eastern approach and the Western approach is presented in Part II.</div></div>","PeriodicalId":50023,"journal":{"name":"Journal of Terramechanics","volume":"117 ","pages":"Article 101023"},"PeriodicalIF":2.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142573391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01Epub Date: 2024-10-26DOI: 10.1016/j.jterra.2024.101024
Varsha S. Swamy , Alba Yerro , Corina Sandu , Rashna Pandit , David Gorsich , Katherine Sebeck
Modeling and performance prediction of tires on wet, plastic, cohesive soils is challenging. In wet soils, the undrained shear strength reduces as water content increases. This work aims to model highly deformable saturated clay (plastic state) to predict the short-term effect on the soil due to a single pneumatic tire pass. The external loads on the soil (total stresses) can be carried by the soil skeleton (effective stress) and/or water (pore water pressure). Fundamentally, effective stresses determine soil failure. Hence, material models can be defined using two frameworks: total and effective stress. In total stress analysis, commonly found in literature, soil and water are modeled as one medium to address rapid loading. In effective stress analysis, pore pressure evolution can be tracked through hydromechanical formulations with different drainage conditions (dry and fully saturated soils). Further, different numerical techniques (FEM, ALE, and SPH) are compared. The effective stress model captures an accumulation of excess pore water pressure after one tire pass resulting from soil non-linear behavior, which may potentially affect the tire performance of later passes. In addition, the FEM model fails at higher normal loads and slip ratios due to excessive deformation; ALE and SPH give more stable solutions for large deformations.1
{"title":"Numerical analysis of tire mobility on deformable plastic clay in saturated conditions using total and effective stress frameworks","authors":"Varsha S. Swamy , Alba Yerro , Corina Sandu , Rashna Pandit , David Gorsich , Katherine Sebeck","doi":"10.1016/j.jterra.2024.101024","DOIUrl":"10.1016/j.jterra.2024.101024","url":null,"abstract":"<div><div>Modeling and performance prediction of tires on wet, plastic, cohesive soils is challenging. In wet soils, the undrained shear strength reduces as water content increases. This work aims to model highly deformable saturated clay (plastic state) to predict the short-term effect on the soil due to a single pneumatic tire pass. The external loads on the soil (total stresses) can be carried by the soil skeleton (effective stress) and/or water (pore water pressure). Fundamentally, effective stresses determine soil failure. Hence, material models can be defined using two frameworks: total and effective stress. In total stress analysis, commonly found in literature, soil and water are modeled as one medium to address rapid loading. In effective stress analysis, pore pressure evolution can be tracked through hydromechanical formulations with different drainage conditions (dry and fully saturated soils). Further, different numerical techniques (FEM, ALE, and SPH) are compared. The effective stress model captures an accumulation of excess pore water pressure after one tire pass resulting from soil non-linear behavior, which may potentially affect the tire performance of later passes. In addition, the FEM model fails at higher normal loads and slip ratios due to excessive deformation; ALE and SPH give more stable solutions for large deformations.<span><span><sup>1</sup></span></span></div></div>","PeriodicalId":50023,"journal":{"name":"Journal of Terramechanics","volume":"117 ","pages":"Article 101024"},"PeriodicalIF":2.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142527954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01Epub Date: 2024-11-14DOI: 10.1016/j.jterra.2024.101027
Andries J. Peenze, P. Schalk Els
This paper investigates improvements that can be made to predictive control methods for off-road vehicles by adding of realistic steering preview. The objective of this study is to improve the performance and efficacy of predictive controllers by accounting for significant time delays in active and semi-active systems on vehicles. Traditional zero-order and first-order hold methods for steer preview are compared to a more realistic steer preview method. Semi-active suspension, rear wheel steering, and individual brake actuation are used as the actuators on this off-road vehicle. The results show that the addition of a realistic steering preview improves the handling performance of the vehicle in a severe double lane change manoeuvre on rough roads. Up to 10% reduction in roll angle can be achieved with semi-active suspension control. A 34% reduction in side-slip angle is possible with rear wheel steering control and a 15% reduction in side-slip angle is achieved with differential braking control. The controllers can pre-empt and consider the effect of the actuator time delays, and the preview states from the predictive controller are more representative over the prediction horizon. The findings suggest that the addition of a realistic steering preview can improve the performance of predictive controllers on vehicles. Further investigation of other disturbances and their preview effects on the system should be conducted to find further improvements for predictive control strategies on vehicles.
{"title":"Investigation of steer preview methods to improve predictive control methods on off-road vehicles with realistic actuator delays","authors":"Andries J. Peenze, P. Schalk Els","doi":"10.1016/j.jterra.2024.101027","DOIUrl":"10.1016/j.jterra.2024.101027","url":null,"abstract":"<div><div>This paper investigates improvements that can be made to predictive control methods for off-road vehicles by adding of realistic steering preview. The objective of this study is to improve the performance and efficacy of predictive controllers by accounting for significant time delays in active and semi-active systems on vehicles. Traditional zero-order and first-order hold methods for steer preview are compared to a more realistic steer preview method. Semi-active suspension, rear wheel steering, and individual brake actuation are used as the actuators on this off-road vehicle. The results show that the addition of a realistic steering preview improves the handling performance of the vehicle in a severe double lane change manoeuvre on rough roads. Up to 10% reduction in roll angle can be achieved with semi-active suspension control. A 34% reduction in side-slip angle is possible with rear wheel steering control and a 15% reduction in side-slip angle is achieved with differential braking control. The controllers can pre-empt and consider the effect of the actuator time delays, and the preview states from the predictive controller are more representative over the prediction horizon. The findings suggest that the addition of a realistic steering preview can improve the performance of predictive controllers on vehicles. Further investigation of other disturbances and their preview effects on the system should be conducted to find further improvements for predictive control strategies on vehicles.</div></div>","PeriodicalId":50023,"journal":{"name":"Journal of Terramechanics","volume":"117 ","pages":"Article 101027"},"PeriodicalIF":2.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142650957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01Epub Date: 2024-11-08DOI: 10.1016/j.jterra.2024.101030
Dávid Körmöczi , Péter Kiss
Accurate modeling or simulation of the vehicle-terrain interaction is critical for effective off-road vehicle navigation. While several high-accuracy methods exist (for example FEM simulation) they typically require computational capacity that exceeds what can be installed in a vehicle. Therefore, they are not applicable for real-time off-road vehicle navigation purposes, where computer hardware capacity is limited by the need for onboard installation. To address this challenge, simplified and less detailed models must be developed for real-time applications. This paper compares three different two-dimensional static terrain-vehicle models, considering accuracy and computational capacity requirements. Results of the comparison provide insights into the suitability of each model for real-time navigation of off-road vehicles.
{"title":"Comparison of selected tire-terrain interaction models from the aspect of accuracy and computational intensity","authors":"Dávid Körmöczi , Péter Kiss","doi":"10.1016/j.jterra.2024.101030","DOIUrl":"10.1016/j.jterra.2024.101030","url":null,"abstract":"<div><div>Accurate modeling or simulation of the vehicle-terrain interaction is critical for effective off-road vehicle navigation. While several high-accuracy methods exist (for example FEM simulation) they typically require computational capacity that exceeds what can be installed in a vehicle. Therefore, they are not applicable for real-time off-road vehicle navigation purposes, where computer hardware capacity is limited by the need for onboard installation. To address this challenge, simplified and less detailed models must be developed for real-time applications. This paper compares three different two-dimensional static terrain-vehicle models, considering accuracy and computational capacity requirements. Results of the comparison provide insights into the suitability of each model for real-time navigation of off-road vehicles.</div></div>","PeriodicalId":50023,"journal":{"name":"Journal of Terramechanics","volume":"117 ","pages":"Article 101030"},"PeriodicalIF":2.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142650959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01Epub Date: 2024-09-17DOI: 10.1016/j.jterra.2024.101010
Anthony T. Fragoso, Sarah M. Piedmont
Estimating the mechanical properties of snow from imagery is an essential part of over-snow vehicle autonomy. However, snow surfaces that differ widely in strength, traction, and motion resistance tend to appear a uniform bright white in visible or broadband infrared imagery, and it is difficult to determine where an oversnow vehicle should operate from imagery alone. In this work we determine the optimal fusion of filtered broadband shortwave infrared (SWIR) imagery to separate snow types with different mechanical properties by appearance. We demonstrate vastly increased discrimination skill in distinguishing snow types using a small number of SWIR cameras in both field and laboratory settings, and also identify sources of environmental context that can improve lookahead sensing for oversnow vehicles. Overall, we show that a small set of inexpensive SWIR filters is a powerful tool for over-snow autonomy and motion planning.
{"title":"Shortwave infrared fusion for snow surface traversability mapping","authors":"Anthony T. Fragoso, Sarah M. Piedmont","doi":"10.1016/j.jterra.2024.101010","DOIUrl":"10.1016/j.jterra.2024.101010","url":null,"abstract":"<div><p>Estimating the mechanical properties of snow from imagery is an essential part of over-snow vehicle autonomy. However, snow surfaces that differ widely in strength, traction, and motion resistance tend to appear a uniform bright white in visible or broadband infrared imagery, and it is difficult to determine where an oversnow vehicle should operate from imagery alone. In this work we determine the optimal fusion of filtered broadband shortwave infrared (SWIR) imagery to separate snow types with different mechanical properties by appearance. We demonstrate vastly increased discrimination skill in distinguishing snow types using a small number of SWIR cameras in both field and laboratory settings, and also identify sources of environmental context that can improve lookahead sensing for oversnow vehicles. Overall, we show that a small set of inexpensive SWIR filters is a powerful tool for over-snow autonomy and motion planning.</p></div>","PeriodicalId":50023,"journal":{"name":"Journal of Terramechanics","volume":"117 ","pages":"Article 101010"},"PeriodicalIF":2.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0022489824000521/pdfft?md5=760fc424eaf38e375dd88f03aa3c1289&pid=1-s2.0-S0022489824000521-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142242760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01Epub Date: 2024-09-24DOI: 10.1016/j.jterra.2024.101015
Antonio Leanza, Angelo Ugenti, Rocco Galati, Giulio Reina
This article presents a novel approach to accurately predict how terrain unevenness is modified by the passage of a wheel under varying operating conditions. The proposed method uses a moving average filter to model the deformation of the soft soil caused by the rolling wheel. The window length of the filter is determined by key terrain parameters as well as the geometry of the wheel. The method’s accuracy and robustness are validated through a series of comparisons with a high-fidelity model developed in the multibody simulation environment MSC Adams, along with an experiment conducted in a real agricultural scenario. This model incorporates classical terramechanics theory to simulate the complex interactions between the wheel and the terrain. Key findings indicate that the moving average filter approach not only simplifies the computational process but also maintains a high degree of accuracy in predicting terrain deformation across a range of operating conditions. This method offers significant potential for improving the design and optimization of off-road vehicles, agricultural machinery, and planetary rovers by providing a more efficient tool to assess terrain interaction dynamics. In general, this study lays the foundations for advances in understanding and predicting terrain behavior under the influence of rolling wheels, contributing to the broader field of vehicle-terrain interaction research.
{"title":"Predicting the impact of wheel passage on terrain unevenness","authors":"Antonio Leanza, Angelo Ugenti, Rocco Galati, Giulio Reina","doi":"10.1016/j.jterra.2024.101015","DOIUrl":"10.1016/j.jterra.2024.101015","url":null,"abstract":"<div><div>This article presents a novel approach to accurately predict how terrain unevenness is modified by the passage of a wheel under varying operating conditions. The proposed method uses a moving average filter to model the deformation of the soft soil caused by the rolling wheel. The window length of the filter is determined by key terrain parameters as well as the geometry of the wheel. The method’s accuracy and robustness are validated through a series of comparisons with a high-fidelity model developed in the multibody simulation environment <em>MSC Adams</em>, along with an experiment conducted in a real agricultural scenario. This model incorporates classical terramechanics theory to simulate the complex interactions between the wheel and the terrain. Key findings indicate that the moving average filter approach not only simplifies the computational process but also maintains a high degree of accuracy in predicting terrain deformation across a range of operating conditions. This method offers significant potential for improving the design and optimization of off-road vehicles, agricultural machinery, and planetary rovers by providing a more efficient tool to assess terrain interaction dynamics. In general, this study lays the foundations for advances in understanding and predicting terrain behavior under the influence of rolling wheels, contributing to the broader field of vehicle-terrain interaction research.</div></div>","PeriodicalId":50023,"journal":{"name":"Journal of Terramechanics","volume":"117 ","pages":"Article 101015"},"PeriodicalIF":2.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0022489824000570/pdfft?md5=d47a517f92ba22dfa8bf7d147d1aedb3&pid=1-s2.0-S0022489824000570-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142315033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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