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: 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: This paper proposes a method for generating maps in indoor environments that include transparent objects by using a stereo polarization camera and projector. Conventional sensors like LiDAR ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results