ROS 2-Based LiDAR Perception Framework for Mobile Robots in Dynamic Production Environments, Utilizing Synthetic Data Generation, Transformation-Equivariant 3D Detection and Multi-Object Tracking

ROS 2-Based LiDAR Perception Framework for Mobile Robots in Dynamic Production Environments, Utilizing Synthetic Data Generation, Transformation-Equivariant 3D Detection and Multi-Object Tracking explores A LiDAR perception framework for mobile robots in dynamic production environments that improves 6D pose estimation and multi-object tracking using synthetic data and a novel detection method.. Commercial viability score: 4/10 in Robotics Perception.