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Motion-Planning-on-CARLA
Implement Motion Planning for autonomous car on CARLA simulatorLidar-and-Radar-sensor-fusion-with-Extended-Kalman-Filter
Fusing Lidar and Radar data with Extended Kalman Filter (EKF)Lane-Keeping-Assist-on-CARLA
Implementing Lane Keeping Assist (LKA) on CARLA simulatorMotion-planning-based-on-Model-Predictive-control-and-Bezier-spline
A quasi Hybrid A* method is introduced for motion planning of autonomous driving car, based on MPC and Bezier splineMulti-Vehicle-Intersection-planning-with-MPC-approach-for-autonomous-vehicles
Implement an MPC approach to coordinate multiple automated vehicles with fixed priorities at an unsignalized intersectionSensor-Fusion-Using-ES-EKF
Implement Error-State Extended Kalman Filter on fusing data from IMU, Lidar and GNSS.Intersection-planning-with-MPC-approach-for-autonomous-vehicles
Implement an MPC approach to coordinate automated vehicles with fixed prioritiesSFND_Radar_Target_Generation_and_Detection
With Radar data, use Fast Fourier Transform(FFT) and 2D CA-CFAR to derive range and velocity of the objectsMachine-Learning
Assignments for Machine Learning course on Coursera from Stanford UniversityEnvironment-Perception-For-Self-Driving-Cars
Extract useful scene information from semantic segmentation from neural networks to allow self-driving cars to safely and reliably traverse their environmentLove Open Source and this site? Check out how you can help us