Occlusion-Aware Trajectory Planning for Autonomous Vehicles

In the realm of autonomous driving, navigating through occluded areas presents a significant challenge due to limited visibility, increasing the risk of accidents and pedestrian collisions. In order to address this challenge, we require a sophisticated system that not only ensures safety but also maintains the smooth flow of traffic. In Autonomous vehicles, ensuring safe navigation in situations where the vehicle’s sensors have limited visibility due to occlusions remains as a significant challenge. Traditional planning methods for self-driving cars rely on complete environmental information, leaving them vulnerable to hidden obstacles like buildings, parked vehicles, or other cars, which can jeopardize safety. Thus, the adoption of occlusion-aware planning enhances adaptability and robustness, enabling cars to navigate the real world with greater confidence. The main objective of the proposed model is to tackle the challenges and risks associated with occluded areas in autonomous driving. A trajectory planning algorithm is proposed to navigate through such areas while minimizing risks to pedestrians and maintaining traffic flow.