Speed profile planning for autonomous vehicle in dynamic environments over a fixed path
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Updated
Mar 26, 2024 - C++
Speed profile planning for autonomous vehicle in dynamic environments over a fixed path
Autonomous Vehicle Control System using A* pathfinding, sensor data integration, and YOLO object detection in AirSim.
<ROS> 3D object Detect, multi Tracking, Predict trajectory on Traffic Data with LiDAR sensor in real time (2024.12~2025.04)
OpenPodCar_V2: Open source Hardware and Software platform for autonomous driving applications.
The Fifth Driver is a project for the Adaptative Computing Developer Contest for Xilinx. We pretend to demonstrate that the Xilinx Ultrascale+ MPSoC architecture is suitable for developing machine learning applications applied to Autonomous Driving.
Adaptive_detection is a sophisticated reinforcement learning framework designed for autonomous driving applications using the CARLA simulator. The project integrates state-of-the-art YOLOv9 object detection to enable adaptive perception and decision-making in complex driving scenarios.
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