Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation
Our predictions for the KITTI Tracking sequence 19 with true positives (green), false positives (red), and false negatives (blue). Because these labels come in all shapes, you need to specify a ...
With the advent of AI-mediated APIs, the era of manually hard-coding every integration between every microservice may be ...
Abstract: Mapping and planning are fundamental to robotic navigation in unknown environments. This work introduces a probabilistic framework that combines Gaussian processes (GPs) for 2.5D object ...
Abstract: Online map construction is essential for autonomous robots to navigate in unknown environments. However, the presence of dynamic objects may introduce artifacts into the map, which can ...
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