A repository of offline javascript-powered tools for visualising 2D path planning on binary occupancy grids and LEGO-EV3 related activities.
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Updated
May 21, 2024 - JavaScript
A repository of offline javascript-powered tools for visualising 2D path planning on binary occupancy grids and LEGO-EV3 related activities.
This reposity present an approach to build 2D evidential occupancy grid maps with Lidar data
Fast, efficient and accurate multi-resolution, multi-sensor 3D occupancy mapping
Designed to create an occupancy grid, also known as an obstacle map, from detections sourced from ultrasonic sensors mounted on a robot. This map is crucial for robotic navigation and environment interaction, especially in autonomous tasks.
Repository to create occupancy grid map from rosbag file containing lidar and wheel odometry data in ROS2
occupancy grid map generator using pointcloud2, in ROS2 foxy
Robotics with GPU computing
Build graphs and find paths with A*. Supports occupancy grid maps.
Talk2BEV: Language-Enhanced Bird's Eye View Maps (Accepted to ICRA'24)
ROS package for a simple navigation system utilizing the Visibility Graph algorithm.
Implementation of an occupancy grid map building algorithm in a static environment.
Project: Generating overhead birds-eye-view occupancy grid map with semantic information from lidar and camera data.
[CoRL 2023] SOGMP++/SOGMP: Stochastic Occupancy Grid Map Prediction in Dynamic Scenes
Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]
Tutorial on Autonomous Vehicles' mapping algorithm with Occupancy Grid Map and Dynamic Grid Map using KITTI Dataset
A ROS package that implements a multi-robot RRT-based map exploration algorithm. It also has the image-based frontier detection that uses image processing to extract frontier points.
Mapping spatiotemporal patterns in an online and continuous fashion
Occ4cast: LiDAR-based 4D Occupancy Completion and Forecasting
Hardware-accelerated global localization
SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving
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