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 are safe ...

Real-time robotic systems require advanced perception and action capability. However, the main bottleneck in current autonomous systems is the trade-off between computational capability, energy ...

Our latest blog explains what occupancy grid mapping is, how it differs from object-detection-based perception, what training data it requires, and where the annotation challenges lie for teams ...

[Paper Title]: D-BDM: A Direct and Efficient Boundary-Based Occupancy Grid Mapping Framework for LiDARs Arxiv: https://lnkd.in/epNKtRBn 🔁 At a Glance 💡 Goal: Develop a scalable, memory-efficient, ...

Abstract: Reliable pose estimation in previously unseen environments is a fundamental capability of autonomous systems. Existing LiDAR odometry methods typically employ point-, surfel-, or NDT-based ...