Point Cloud Processing
4 projects use this
Adaptive Heuristic Exploration for Autonomous Mapping on Turtlebot
Developed autonomous navigation algorithms for Turtlebot using ROS, Python, C++, and Gazebo, combining heuristic planning and sensor feedback to optimize exploration paths in unknown environments.
Maze Navigating Robot Localization Using 2D LiDAR and Particle Filter SLAM
Led software development for a ROS-based autonomous robot using Python, C++, LiDAR, Hector SLAM, and AMCL for mapping, localization, and navigation with real-time obstacle avoidance.
Robust Visual Navigation Using Semantic Segmentation and Sensor Fusion
Developed a ROS2 autonomous navigation pipeline using Python, OpenCV, PyTorch, and LEDNet for real-time trail segmentation, combining YOLOv7, lidar, and camera fusion for pedestrian-aware robotic navigation.
3D Point Cloud Matching Using SVD and ICP
Created a 3D point cloud alignment system in Python using the ICP algorithm, nearest-neighbour search, and SVD to estimate optimal transformations between source and target scans.