Parking Scenario

Automated parking is a crucial area of autonomous driving research, aiming to develop robust and efficient algorithms for vehicles to park themselves in diverse and challenging environments. Current research focuses on improving path planning algorithms, employing techniques like reinforcement learning, A*, and variations of rapidly-exploring random trees, often integrated with advanced perception systems using bird's-eye-view representations and sensor fusion. These advancements aim to increase parking success rates, reduce planning time, and enhance safety and comfort, ultimately contributing to the development of more sophisticated and reliable autonomous driving systems.