Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking

Reinforcement learning based automated parking system (Gymnasium and Ray RLlib)

Reinforcement Learning : Autonomous parallel parking task. implementing SAC and DreamerV3's World Model on Highway-env

The project uses CARLA and a multi-sensor perception pipeline for real-time parallel parking slot detection and validation. It combines radar, semantic segmentation, RGB, and depth data, publishes confirmed slot events via MQTT, supports keyboard and Logitech G29 control, and is evaluated across multiple weather and scenario conditions.