Sensor Fusion in Autonomous Navigation for Asteroid Observation Missions

Spacecraft navigation and control is difficult in deep space operations. Especially around asteroids, the irregular gravity field increases the difficulty of estimating the spacecraft trajectory. Autonomous navigation can increase the safety and accuracy for orbit proximity operations. Furthermore, it eliminates the need for continuous...

Radar-guided Monocular Depth Estimation and Point Cloud Fusion for 3D Object Detection

Multi-class road user detection using the next- generation, 3+1D (range, azimuth, elevation, and Doppler) radars has been shown feasible, thanks to the increased density of their point clouds and the inclusion of elevation information. However, object detection networks using LiDAR (64-layer) point clouds still dominate the performance metrics....

Extended Object Tracking of Pedestrians in Automotive Applications

Recent advances in sensor technology have lead to increased resolution of novel sensors, while tracking applications where distance between sensors and objects of interest is very small have gained research interest recently. In these cases, it is possible that multiple sensor detections are generated by each object of interest. Extended Object...