Deep learning approaches for Visual-Inertial Odometry (VIO) have proven successful, but they rarely focus on incorporating robust fusion strategies for dealing with imperfect input sensory data. We ...

Detection and tracking of on-road moving objects are crucial for vehicle perception. Data Fusion of perception sensors like cameras, lidar, and radar, allows the automotive perception to achieve a ...