首页|Findings on Robotics and Automation Reported by Investigators at University of W aterloo (Estimating Visibility From Alternate Perspectives for Motion Planning W ith Occlusions)
Findings on Robotics and Automation Reported by Investigators at University of W aterloo (Estimating Visibility From Alternate Perspectives for Motion Planning W ith Occlusions)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Robotics - Robotics and Automation. According to news reporting out of Waterloo, Canada, by NewsRx editors, research stated, “Visibility is a crucial aspect of planning and control of autonomous vehicles (AV), particularly when navigating e nvironments with occlusions. However, when an AV follows a trajectory with multi ple occlusions, existing methods evaluate each occlusion individually, calculate a visibility cost for each, and rely on the planner to minimize the overall cos t.” Financial support for this research came from CGIAR. Our news journalists obtained a quote from the research from the University of W aterloo, “This can result in conflicting priorities for the planner, as individu al occlusion costs may appear to be in opposition. We solve this problem by crea ting an alternate perspective cost map that allows for an aggregate view of the occlusions in the environment. The value of each cell on the cost map is a measu re of the amount of visual information that the vehicle can gain about the envir onment by visiting that location. Our proposed method identifies observation loc ations and occlusion targets drawn from both map data and sensor data.” According to the news editors, the research concluded: “We show how to estimate an alternate perspective for each observation location and then combine all esti mates into a single alternate perspective cost map for motion planning.”
WaterlooCanadaNorth and Central Amer icaRobotics and AutomationRoboticsUniversity of Waterloo
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