Stars
RSPMP: real-time semantic perception and motion planning for autonomous navigation of unmanned ground vehicle in off-road environments
WayFASTER: a Self-Supervised Traversability Prediction for Increased Navigation Awareness
Gaussian Process-based Traversability Analysis for Terrain Mapless Navigation (ICRA 2024)
Learning self-supervised traversability with navigation experiences of mobile robots: A risk-aware self-training approach @ IEEE RA-L'24
STEPP: Semantic Traversability Estimation using Pose Projected features
Follow the Footprints: Self-supervised Traversability Estimation for Off-road Vehicle Navigation based on Geometric and Visual Cues
iPlanner: Imperative Path Planning. An end-to-end learning planning framework using a novel unsupervised imperative learning approach
Wild Visual Navigation: A system for fast traversability learning via pre-trained models and online self-supervision
ViPlanner: Visual Semantic Imperative Learning for Local Navigation
😎 A curated list of papers, tools, and libraries for traversability analysis and terrain classification, segmentation in robotic navigation
(ITSC 2021) Optimising the selection of samples for robust lidar camera calibration. This package estimates the calibration parameters from camera to lidar frame.
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
Reinforcement Learning with Model Predictive Control
3D Multi-Robot Exploration, Patrolling and Navigation.
Learning Long-Horizon Robot Exploration Strategies for Multi-Object Search in Continuous Action Spaces. http://multi-object-search.cs.uni-freiburg.de
Official PyTorch Implementation of "Training a Disaster Victim Detection Network for UAV Search and Rescue Using Harmonious Composite Images"
Official code and checkpoint release for mobile robot foundation models: GNM, ViNT, and NoMaD.
D-Map provides an efficient occupancy mapping approach for high-resolution LiDAR sensors.
Reinforcement learning with A* and a deep heuristic
[IEEE TIV] Official PyTorch Implementation of ''A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving.''