Moving Object Segmentation in 3D LiDAR Data using Machine Learning
<p>The ability to build consistent maps of the environment and distinguish between moving and non-moving parts of the world is a key capability for mobile robots and autonomous cars alike. They need consistent maps to localize or plan a path, and they must perceive moving and consider their motion during navigation. People, cyclists, cars, and other dynamic objects moving through the environment create challenges for robot mapping and so-called SLAM systems that aim at building a 3D model of the world. Objects, which move through the environment during mapping, will create map inconsistencies and seriously affect the resulting model’s quality.</p>
<p><a href="https://medium.com/stachnisslab/moving-object-segmentation-in-3d-lidar-data-using-machine-learning-3c36688817a3"><strong>Learn More</strong></a></p>