Autonomous Driving
Showing 36 of 72 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.
Fast and robust algorithm for segmenting Velodyne LiDAR point clouds into objects for autonomous driving applications.
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.
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.
Convert KITTI autonomous driving datasets into ROS bag files for easy playback and integration.
A semi-automatic, web-based toolbox for annotating 3D bounding boxes in full-surround, multi-modal sensor data streams.
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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