Abstract: Occupancy maps are used in automotive driving applications to understand the scene around the vehicle using sensor data like LiDAR measurements. State-of-the-art work relies on ...

This research introduces a VSLAM framework that optimizes obstacle avoidance in indoor logistics, leveraging advanced ...

Overview Occupancy grid mapping turns the environment into a probabilistic map of occupied and unoccupied cells. This is important for AV systems as it allows them to calculate whether certain areas ...

Abstract: Accurate and comprehensive recognition of dynamic and static objects is essential for the safety and efficiency of autonomous vehicles. However, deep learning-based semantic segmentation, ...