hu-jerry Goto Github PK

beverse

The official repository for BEVerse

carla

Open-source simulator for autonomous driving research.

deeplab

end-to-end-conditional-imitation-driving

Autonomous driving research (Part I)

end-to-end-driving

Implementation code for: End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agent, IEEE Trans. Intelligent Vehicles, 2022.

erfnet_pytorch

Pytorch code for semantic segmentation using ERFNet

expert-prior-rl

Imitative Expert Prior-Guided Reinforcement Learning (on TNNLS)

fiery

PyTorch code for the paper "FIERY: Future Instance Segmentation in Bird's-Eye view from Surround Monocular Cameras"

imitation-learning

Autonomous driving: Tensorflow implementation of the paper "End-to-end Driving via Conditional Imitation Learning"

interp-e2e-driving

Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

lane-change-simulation

This is an C++ implementation of lane change decision making in simulated autonomous driving, path planning and markov decision process as well as particle filters are considered

lift-splat-shoot

Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

macad-gym

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

models

Models and examples built with TensorFlow

paper_read_list

semantic-depth

Fusing Semantic Segmentation and Monocular Depth Estimation for Enabling Autonomous Driving in Roads without Lane Lines

setting-up-carla-reinforcement-learning

Reinforcement Learning Environment for CARLA Autonomous Driving Simulator