#Extended gaussian image from vector code install
Mac: install Xcode command line tools to get make.Linux: make is installed by default on most Linux distros.All OSes: click here for installation instructions.To be tracked, and then apply the Extended Kalman Filter to track the objects based on the two typesĬode & Files 1. In autonomous driving case, the self-driving cars obtian both Lidar and radar sensors measurements of objects The error is displayed in RMSE format in real time. The estimated trajectory ( green triangle) is compared with the ground true trajectory of the blue car, and Therefore, we use Extended Kalman Filter to compute the estimated location ( green triangle) of the blue car. The proper location of the tracked object. Also, we need to find a way to fuse the two types of sensor measurements to estimate Measurements of the car's location in the defined coordinate, but there might be noise and errors We continuously got both LIDAR ( red circle) and RADAR ( blue circle) Pedestrian, vehicles, or other moving objects.
In this demo, the blue car is the object to be tracked, but the tracked object can be any types, e.g. Demo: Object tracking with both LIDAR and RADAR measurements Tracking with the Extended Kalman Filter. pedestrian, vehicles, or other moving objects) Utilize sensor data from both LIDAR and RADAR measurements for object (e.g. Object Tracking with Extended Kalman Filter Objective
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