Python sample codes for robotics algorithms.
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Updated
Jun 19, 2024 - Python
Python sample codes for robotics algorithms.
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
A minimalist environment for decision-making in autonomous driving
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)
You Only Look Once for Panopitic Driving Perception.(MIR2022)
A Kitti Road Segmentation model implemented in tensorflow.
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving
World's first general purpose 3D object detection codebse.
Papers and Datasets about Point Cloud.
Real-time Joint Semantic Reasoning for Autonomous Driving
A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.
Scalable Multi-Agent RL Training School for Autonomous Driving
PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
A car detection model implemented in Tensorflow.
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