Shuo Sun's repositories
lidar_obstacle_detector
3D LiDAR Object Detection & Tracking using Euclidean Clustering, RANSAC, & Hungarian Algorithm
fiss_planner
[RA-L 2022] FISS: A Trajectory Planning Framework using Fast Iterative Search and Sampling Strategy for Autonomous Driving
frenet_optimal_planner
Implementation of the Frenet Optimal Planning Algorithm (with modifications) in ROS.
fiss_plus_planner
[IROS 2023] FISS+: Efficient and Focused Trajectory Generation and Refinement using Fast Iterative Search and Sampling Strategy
DriveSceneGen
[RA-L 2024] DriveSceneGen: Generating Diverse and Realistic Driving Scenarios from Scratch
lgsvl_utils
ROS Helper Nodes for visualizing and utilizing LGSVL Simulator
junior_local_planner
This local planner implements the local planning method used in Tier IV's Autoware OpenPlanner (Local Planner), with modifications to suit our application.
3D-PointCloud
DeepBlue 3D-PointCloud Course Notes and Practices
urban_road_filter
Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗
visual-computing
NUS EE5731 Visual Computing Projects
ARC-Starter-Cookbook
Cookbook for new Robotics students
CarND-LaneLines-P1
Lane Finding Project for Self-Driving Car ND
face-recognition
EE5907/EE5027 Pattern Recognition Programming Assignment CA2
ad_with_lanelet2
sample of ad system to use lanelet2 framework
assuremappingtools
Desktop based tool for viewing, editing and saving road network maps for autonomous vehicle platforms such as Autoware.
CenterTrack
Simultaneous object detection and tracking using center points.
computational-design-of-strain-sensors
Robot trajectory & height prediction with PCAM sensors
machine-vision
ME5405 Machine Vision Project
ndt_localizer
A simple, clean NDT licalization ROS package.
SS47816
My GitHub Public Profile
ss47816.github.io
My Academic Portfolio
strain_sensor_prediction
This repo contains the code details for project: Computational design of ultra-robust strain sensors for soft robot perception and autonomy
waymax
A JAX-based simulator for autonomous driving research.