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[CVPR2023 Highlight] The official codebase for paper "V2V4Real: A large-scale real-world dataset for Vehicle-to-Vehicle Cooperative Perception"
My learning materials for Computer Networking : A Top Down Approach
Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296
Carla 0.9.15 and Autoware Universe Humble
CARLA Autonomous Driving leaderboard
federated learning autonomous driving in CARLA simulation
An SDK for multi-agent collaborative perception.
Resources for the book Clean code in Python, and material for the talk at EuroPython 2016
Predict Vehicle collision moments before it happens in Carla!. CNN and LSTM hybrid architecture is used to understand a series of images.
A dataset of 2D imagery, 3D point cloud data, and 3D vehicle bounding box labels all generated using the Grand Theft Auto 5 game engine.
Cooperative Driving Dataset: a dataset for multi-agent driving scenarios
Tools for dataset generation based on CARLA simulator. (Data Collector)
(NeurlPS 2022) Towards Efficient 3D Object Detection with Knowledge Distillation
Comprehensive dynamic time warping module for python
A description of the Kinematic Bicycle Model written in Cython with an animated example.
[ICCV 2025] Stag-1: Towards Realistic 4D Driving Simulation with Video Generation Model
Autoware Mini is a minimalistic Python-based autonomy software.
multi-agent data collection and distributed learning in CARLA simulation
[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory
Motion Control of Self-Driving Car for Trajectory Tracking
A Python implementation and API for the Dynamic Time Warping (DTW) algorithm
Rui Qian, Xin Lai, Xirong Li: 3D Object Detection for Autonomous Driving: A Survey (Pattern Recognition 2022: IF=8.518)
In this project I implement a controller for the CARLA simulator. The goal was to control the vehicle to follow a race track by navigating through preset waypoints (x,y,speed). The vehicle needs to…
TensorFlow training pipeline and dataset for prediction of evidential occupancy grid maps from lidar point clouds.