Automatic parking assist must overcome some unique challenges when perceiving obstacles. An ego vehicle contains sensors that perceive the environment around the vehicle. During parking, the ego vehicle must be close to dynamic obstacles like pedestrians and other vehicles, as well as static obstacles such as pillars and poles. To fit into the parking spot, it also may be required to navigate low��
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Detecting drivable free space is a critical component of advanced driver assistance systems (ADAS) and autonomous vehicle (AV) perception. Obstacle detection is usually performed to detect a set of specific dynamic obstacles, such as vehicles and pedestrians. In contrast, free space detection is a more generalized approach for obstacle detection. It enables autonomous vehicles to navigate��
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Autonomous vehicles (AVs) must be able to safely handle any type of traffic scenario that could be encountered in the real world. This includes hazardous near-accidents, where an unexpected maneuver by other road users in traffic could lead to collision. However, developing and testing AVs in these types of scenarios is challenging. Real-world collision data is sparse��
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