Konferenzen und Rahmenprogramm
Design and Verification of Algorithms for Object Detection and Tracking Using Lidar Data
Lidar sensors are essential for autonomous vehicles and most ground moving robots. In their short scan cycles, these sensors generate a large number of points containing information that can be used to detect obstacles in the surrounding environment. While the process of extracting information, detecting and tracking relevant objects and filtering noise or road reflections is complex, it needs to be reliable and accurate. We explain how to preprocess raw point clouds from Lidar sensors in MATLAB to generate detections for conventional trackers that assume one detection per object per sensor scan, define a cuboid model to describe kinematics, dimensions and measurements of extended objects being tracked with a joint probabilistic data association and an interacting multiple model approach, and finally generate C code from the algorithm and verify execution results.
--- Datum: 25.02.2020 Uhrzeit: 10:30 - 11:00 Uhr Ort: Conference Counter NCC Ost