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Rapid Integration and Calibration of New Sensors Using the Berkeley Aachen Robotics Toolkit (BART)

Jan O. Biermeyer, Todd Templeton, Christian Berger, Humberto González, Nikhil Naikal, Bernhard Rumpe⋆, S. Shankar Sastry

发表年份
2014
引用次数
2
访问权限
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摘要

After the three DARPA Grand Challenge contests many groups around the world have continued to actively research and work toward an autonomous vehicle capable of accomplishing a mission in a given context (e.g. desert, city) while following a set of prescribed rules, but none has been completely successful in uncontrolled environments, a task that many people trivially fulfill every day. We believe that, together with improving the sensors used in cars and the artificial intelligence algorithms used to process the information, the community should focus on the systems engineering aspects of the problem, i.e. the limitations of the car (in terms of space, power, or heat dissipation) and the limitations of the software development cycle. This paper explores these issues and our experiences overcoming them.

关键词

RoboticsArtificial intelligenceContext (archaeology)Task (project management)Process (computing)Focus (optics)Computer scienceSet (abstract data type)Work (physics)Power (physics)

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