Rough Terrain Autonomous Vehicle Control Using Google Cloud Vision API

M. Sugadev, Yogesh, Prithvi Kumar Sanghamreddy, Sai Krishna Samineni
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引用次数: 2

Abstract

Computer vision (CV) represents a technology using which information contained in a visual scenery is obtained by capturing and digital processing of the images. Computer vision is becoming more popular and widely used in automated vehicles, robotics to emulate human vision capability and industrial automation. Google cloud vision API is a remote real time image processing platform to process, classify and acquire required metadata from image and videos. In this work, design and implementation of a rough terrain autonomous vehicle using Rocker Bogie mechanism and Google cloud vision API for obstacle avoidance is presented. Rocker Bogie mechanism is employed for maneuvering the robot on rough terrains.
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使用谷歌云视觉API的崎岖地形自动驾驶车辆控制
计算机视觉(CV)是一种通过对图像的捕获和数字处理来获得视觉场景中包含的信息的技术。计算机视觉在自动驾驶汽车、模拟人类视觉能力的机器人和工业自动化中越来越受欢迎和广泛应用。谷歌云视觉API是一个远程实时图像处理平台,用于对图像和视频进行处理、分类和获取所需的元数据。在这项工作中,设计和实现了一种使用摇臂转向架机构和谷歌云视觉API进行避障的崎岖地形自动驾驶汽车。采用摇臂转向架机构实现机器人在崎岖地形上的机动。
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