From cross-country autonomous navigation to intelligent deep space communications: visual sensor processing at JPL

R. Manduchi, L. Matthies, F. Pollara
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引用次数: 4

Abstract

We describe ongoing work at JPL in two fields: autonomous navigation for terrestrial vehicles, and prioritized progressive transmission for deep space communications. While such applications may seem rather disparate, they have in common the need for autonomous reasoning about visual information. We first review a number of techniques currently under development that make use of data from color and infrared cameras, multispectral sensors, and laser rangefinder for estimating properties of the terrain cover in outdoor vegetated terrain. We then discuss how onboard visual analysis mechanisms for Mars rovers can be used for prioritizing the data to be transmitted to Earth, in order to maximize the science return of a mission.
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从越野自主导航到智能深空通信:喷气推进实验室的视觉传感器处理
我们描述了喷气推进实验室在两个领域正在进行的工作:地面飞行器的自主导航,以及深空通信的优先渐进传输。虽然这些应用程序可能看起来相当不同,但它们都需要对视觉信息进行自主推理。我们首先回顾了目前正在开发的一些技术,这些技术利用彩色和红外相机、多光谱传感器和激光测距仪的数据来估计室外植被地形的地形覆盖特性。然后,我们讨论了火星探测器的机载视觉分析机制如何用于优先考虑要传输到地球的数据,以最大限度地提高任务的科学回报。
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