Autonomous Driving
Showing 36 of 77 projects
An open-source, high-performance platform for developing, testing, and deploying autonomous vehicles.
An open-source simulator built on Unreal Engine for developing, training, and validating autonomous driving systems.
An open-source PyTorch toolbox for general 3D object detection, supporting LiDAR, camera, and multi-modal models.
A PyTorch-based toolbox for LiDAR-based 3D object detection, supporting multiple state-of-the-art models and datasets.
A PyTorch-based toolbox for LiDAR-based 3D object detection, supporting multiple state-of-the-art models and datasets.
A curated list of papers, datasets, and code for 3D point cloud analysis research, covering classification, segmentation, detection, and more.
A curated list of open-source tools for professional robotic development in C++ and Python, covering ROS, autonomous driving, and aerospace.
A collection of autonomous driving datasets and evaluation code for advancing machine perception and self-driving research.
A collection of minimalist Gymnasium environments for autonomous driving decision-making and reinforcement learning research.
A multi-sensor calibration toolbox for autonomous driving, supporting IMU, LiDAR, camera, and radar calibration.
A Python toolkit for working with the nuScenes and nuImages autonomous driving datasets, providing data loading, visualization, and evaluation utilities.
A comprehensive C++ toolkit for mobile robotics and computer vision research, providing libraries for SLAM, Bayesian filtering, and 3D geometry.
An unsupervised learning framework for depth and ego-motion estimation from monocular videos using TensorFlow.
A web-based labeling tool for creating semantic segmentation training data from 2D images and 3D point clouds.
A real-time Hybrid A* path planner for nonholonomic autonomous vehicles, generating smooth, efficient paths in unstructured environments.
A real-time baseline 3D multi-object tracking system using LiDAR point clouds, combining 3D Kalman filter and Hungarian algorithm.
A curated checklist of state-of-the-art research materials (datasets, papers, code) for interaction-aware trajectory prediction.
A deep learning pipeline for 3D object detection from RGB-D data by combining 2D detectors with PointNet-based 3D processing.
A general-purpose PyTorch codebase for 3D object detection with state-of-the-art model implementations and multi-dataset support.
A deep learning framework for feature learning directly from point clouds using X-Conv operations, achieving state-of-the-art results in classification and segmentation.
A curated list of awesome LIDAR sensors, datasets, libraries, algorithms, and simulators for robotics and autonomous driving.
A curated list of awesome LIDAR sensors, datasets, libraries, algorithms, frameworks, and simulators for robotics and autonomous driving.
Fast and robust algorithm for segmenting Velodyne LiDAR point clouds into objects for autonomous driving applications.
A PyTorch implementation of self-supervised monocular depth estimation using 3D packing for high-resolution, real-time depth prediction.
A curated collection of papers, toolboxes, and notes for LiDAR-camera extrinsic calibration methods.
Python tools for working with the KITTI autonomous driving dataset, providing data loaders and utilities for computer vision and robotics.
A co-simulation framework for prototyping and evaluating cooperative driving automation applications using CARLA and SUMO.
A PyTorch implementation for super fast and accurate 3D object detection using LiDAR point clouds, featuring an anchor-free approach.
A framework for semantic and instance segmentation of LiDAR point clouds using range images, designed for autonomous driving applications.
A curated list of awesome tutorials, blogs, and projects for the CARLA autonomous driving simulator.
A semi-automatic, web-based toolbox for annotating 3D bounding boxes in full-surround, multi-modal sensor data streams.
Convert KITTI autonomous driving datasets into ROS bag files for easy playback and integration.
A TensorFlow implementation for generating semantically segmented bird's eye view images from multiple vehicle-mounted cameras using a Sim2Real deep learning approach.
Open-source software for precise vehicle localization using GNSS and IMU data fusion.
An open-source digital twin simulator specifically optimized for Autoware, providing ROS2-native environments and sensor simulations.
Official PyTorch implementation for joint monocular 3D vehicle detection and tracking from ICCV 2019.
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