Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]

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.

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

[IROS2024] SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving

Occ4cast: LiDAR-based 4D Occupancy Completion and Forecasting

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

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

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.

Predicting Future Occupancy Grids in Dynamic Environment with Spatio-Temporal Learning

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

[CoRL 2023] SOGMP++/SOGMP: Stochastic Occupancy Grid Map Prediction in Dynamic Scenes

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

[TRO-2025] SCOPE: Stochastic Cartographic Occupancy Prediction Engine for Uncertainty-Aware Dynamic Navigation

AV Projects with the CARLA simulator

Autonomous UAV navigation system featuring real-time 2.5D occupancy-grid mapping, A* global path planning, and depth + LiDAR sensor fusion for dynamic obstacle avoidance in complex urban environments. Fully integrated with ROS 2, PX4 Offboard control, and Gazebo simulation for high-fidelity testing and deployment.

Autonomous Occupancy Probability Mapping Mission Robot Code with Webots and ROS2.

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

Conversion from mesh (.ply files) to bitmap Occupancy map (.png file)

Project: Generating overhead birds-eye-view occupancy grid map with semantic information from lidar and camera data.