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Trajectory Planning for Autonomous Vehicles
Reinforcement-learning-based driving in the CARLA simulator.
An end-to-end autonomous-driving agent trained and deployed in the CARLA simulator.
- Implemented and deployed an autonomous-driving model in the CARLA simulator.
- Used FC-DenseNet56 and PSPNet for semantic segmentation of live road video.
- Employed Deep Q-Networks for reinforcement-learning-based path planning.
Reinforcement LearningDeep Q-NetworksCARLASemantic Segmentation