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 ...
New MIT chip enables tiny drones and robots to create detailed 3D maps while using minimal power.
With the advent of AI-mediated APIs, the era of manually hard-coding every integration between every microservice may be ...
Abstract: This work presents a novel approach to zero-shot visual object goal navigation that leverages the ability of visual Large Language Model (vLLM) for finding target in unknown environment. Our ...
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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