Detecting potentially occluded objects for autonomous vehicles
A potential, vehicle technology, applied in vehicle components, autonomous decision-making process, vehicle position/route/altitude control, etc., can solve difficult problems
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[0017] overview
[0018] This technique involves detecting potentially occluded objects, particularly those that may be within or close to crosswalks. For example, autonomous vehicles can drive on roads that include pedestrian crossings. In many examples, various objects such as moving or parked vehicles or trees may cause portions of the crosswalk to be obscured, or not directly visible to the ego vehicle's sensors. Thus, the ego vehicle's computer can estimate whether a segment of the crosswalk is likely to be occupied by an occluded object, and can use this to control the vehicle.
[0019] As the vehicle drives around, it may sometimes approach and eventually cross the pedestrian crossing. These crosswalks may be known a priori, ie pre-stored in map information accessible by the vehicle's computing device. In this regard, the vehicle's computing device may determine that the vehicle is approaching a crosswalk. In other words, this determination may have been made before...
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