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Odometry-IMU-GPS-Fusion
Sensor fusion-based localization using robot-localization packagehector-quadrotor
Hector Quadrotor works for both ROS melodic and ROS kineticvehicle-localization
Implemented a C++ particle filter for real-time vehicle localization with only current visual observations and a map.Workplace-Service-Robot
Autonomous Mobile Robot (AMR), a holonomic drive with 4 mecanum-wheels. It autonomously maps an environment, localizes itself, and navigate to pick-up and drop-off objects in a simulated environment.path_planning
Implemented a simple real-time path planner in C++ to navigate a car around a simulated highway scenarioparticle_filter
tracking-with-Extended-Kalman-Filter
Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.basavarajnavalgund.github.io
Portfoliotracking-with-Kalman-Filter
Object (e.g Pedestrian, biker, vehicles) tracking by Kalman Filter (KF), with fused data from both lidar and radar sensors.tracking-with-Unscented-Kalman-Filter
Object (e.g Pedestrian, biker, vehicles) tracking by Unscented Kalman Filter (UKF), with fused data from both lidar and radar sensors.Home-Service-Robot
Udacity Robotics Home Service Robot ProjectPID-Control
Model-Predictive-Control
This project is to use Model Predictive Control (MPC) to drive a car in a game simulator. The server provides reference waypoints (yellow line in the demo video) via websocket, and we use MPC to compute steering and throttle commands to drive the car. The solution must be robust to 100ms latency, since it might encounter in real-world application.Love Open Source and this site? Check out how you can help us