conda env create -f environment.yaml conda activate mot_neural_solver pip install -e tracking_wo_bnw pip install -e . We use Sacred to configure our experiments, and Pytorch Lightning, to structure ...
Abstract: 3D multi-object tracking (3D MOT) is a key area in the field of autonomous driving. In systems that track by detection, the detection results of deep learning models will inevitably have ...
Abstract: 3D multi-object tracking (MOT) is essential for providing stable and reliable motion states of surrounding obstacles in autonomous driving. Existing methods primarily focus on motion-based ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A team of Microsoft and Huazhong University researchers this week ...
Objective: This study aimed to examine whether high-level basketball players exhibit superior multi-object tracking abilities compared to low-level basketball players using the three-dimensional multi ...
This project demonstrates a Python implementation of a particle filter designed to track multiple objects simultaneously. The code simulates the 2D projectile motion of several balls and then uses a ...
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