Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

Teach-Repeat-Replan: A Complete and Robust System for Aggressive Flight in Complex Environments

Research platform for 3D object detection in PyTorch.

Object detection / tracking / fusion based on Apollo r3.0.0 perception module in ROS

[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes

A metric for Perceptual Image-Error Assessment through Pairwise Preference (PieAPP at CVPR 2018).

An OpenAI gym wrapper for CARLA simulator

Text to abstract art generation for the holidays!

Steps to reproduce training results for the paper Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

Code to export full segmentations from GTA

Simulations for TurtleBot3

CVPR 2020, "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps"

Integrated ROS capabilities for planning, predicate inference, gripper control, and perception for use with the KUKA LBR IIWA and Universal Robots.

Train generalizable policies for kit assembly with self-supervised dense correspondence learning.

Using NDT to build a Graph SLAM

Autonomous Driving with TurtleBot3

interfaces and algorithms for event based cameras, lidars, and actuators

Joint Perception and Planning For Efficient Obstacle Avoidance Using Stereo Vision

Scripts showcasing filtering techniques applied to point cloud data.

A catkin workspace in ROS which uses DBSCAN to identify which points in a point cloud belong to the same object.

Vanishing Point Guided Network for lane detection, with post processing

A set of Python scripts to evaluate the Automotive Datasets provided by Prophesee

GapFlyt: Active Vision Based Minimalist Structure-less Gap Detection For Quadrotor Flight

An open source autonomous driving research platform for Active SLAM & Multisensor Data Fusion

A python implementation for a LogGabor filtering and pyramid representation

An Implementation of the Driving Scene Perception Network (DSPNet)

Slides for my talk, "The use of colour in graphics"