Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]

Robotics with GPU computing

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.

Fast, efficient and accurate multi-resolution, multi-sensor 3D occupancy mapping

A virtual simulation platform for autonomous vehicle sensing, mapping, control and behaviour methods using ROS 2 and Gazebo.

Implementation of "A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application"

SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving

Occ4cast: LiDAR-based 4D Occupancy Completion and Forecasting

Mapping spatiotemporal patterns in an online and continuous fashion

Talk2BEV: Language-Enhanced Bird's Eye View Maps (ICRA'24)

A Python implementation of the A* algorithm in a 2D Occupancy Grid Map

NVIDIA-accelerated global localization

Creating Occupancy Grid Maps using Static State Bayes filter and Bresenham's algorithm for mobile robot (turtlebot3_burger) in ROS.

TensorFlow training pipeline and dataset for prediction of evidential occupancy grid maps from lidar point clouds.

C++11 code for building a 3D occupancy grid an SDF 3D grid from a mesh

Tutorial on Autonomous Vehicles' mapping algorithm with Occupancy Grid Map and Dynamic Grid Map using KITTI Dataset

SLAM with occupancy grid and particle filter, using lidar, joints, IMU and odometry data from THOR humanoid robot

ROS obstacle detection for 3D point clouds using a height map algorithm.

Algorithm that converts point cloud data into an occupancy grid

Development of a virtual simulation platform for autonomous vehicle sensing, mapping, control and behaviour methods using ROS and Gazebo.