Abstract: Segmenting objects in an environment is a crucial task for autonomous driving and robotics, as it enables a better understanding of the surroundings of each agent. Although camera sensors ...
For 3090: We recommend CUDA 11.1 & Python v3.8.10 & Pytorch 1.9.0 conda create -n dfnet python=3.8.10 source activate dfnet conda install -c conda-forge cudatoolkit=11.1 cudnn=8.1.0 conda install -c ...
The development of robust and reliable methods for environmental perception of robotic systems is an important yet challenging step in the field of Autonomous Mobile Robots. Sensor Fusion arises as a ...
OSPA metric (not OSPA(2)) can be used for multi-object detection/segmentation, and it can be done by: First, convert your data to MOTChallenge format (2D bounding box or segmentation mask), treating ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback