NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
Repository Index
47,133 repositories indexed
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Computational framework for reinforcement learning in traffic control
- reinforcement-learning
- traffic-control
- benchmark
- autonomous
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
- computer-vision
- machine-learning
- deep-learning
- autonomous-vehicles
Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)
- 3d-tracking
- 3d-estimation
- monocular-3d-detection
- monocular-vehicle-tracking
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation
- lidar-point-cloud
- autonomous-vehicles
- deep-neural-networks
Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗
- road-segmentation
- lidar
- point-cloud
- ros
Local trajectory planner based on a multilayer graph framework for autonomous race vehicles.
- planner
- graph
Simulation-based Lidar Super-resolution for Ground Vehicles
A dataset of 2D imagery, 3D point cloud data, and 3D vehicle bounding box labels all generated using the Grand Theft Auto 5 game engine.