kiroisme Goto Github PK

b-gap-behavior-guided-action-prediction-and-navigation-for-autonomous-driving

This is the code base for our paper "B-GAP: Behavior-Rich Simulation and Navigation for Autonomous Driving", which was published at RA-L and presented at IROS 2022.

clash_for_windows_pkg

A Windows/macOS GUI based on Clash

dipp

[TNNLS] Differentiable Integrated Prediction and Planning Framework for Urban Autonomous Driving

driving-interactions

driving-irl-ngsim

[T-ITS] Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning

drone-dataset-tools

The goal of this repo is to make the drone datasets as easy to use as possible. For this purpose we provide source code in Python, which allows the import and visualization of the datasets.

ecnumasterthesislatextemplate

华东师范大学硕士学位论文 Latex 模板（Latex template for Master thesis of East China normal University）

gail-driver

highd-dataset

highd-ngsim-lane-change-feature-extraction

HighD,NGSIM lane change feature extraction and save.

highd.toolkit

Some plugins for highD series dataset

highwayenv

Highway driving simulator incorporating NGSIM dataset using reinforcement learning

idm_bayesian_calibration

irl-maxent

Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python

irl_rocks

Cool Inverse Reinforcement Learning Papers

irlmodelvalidation

This python package contains scripts needed to train IRL Driver models on HighD datasets. This code is accompanying the paper "Validating human driver models for interaction-aware automated vehicle controllers: A human factors approach - Siebinga, Zgonnikov & Abbink 2021"

lane-change-prediction-lstm

LSTM lane-changing detection utilizing highD dataset

mav_trajectory_generation

Polynomial trajectory generation and optimization, especially for rotary-wing MAVs.

naturalistic-sumo-gym

We provide an open source software package for AV based simulation and testing running a docker container

ngsim-data-extraction

ngsim-us-101-trajectory-dataset-smoothing

smoothing the NGSIM US-101 trajectory dataset using Savitzky-Golay Filter

ngsim_env

Learning human driver models from NGSIM data with imitation learning.

ngsim_preprocess

Colab notebook to preprocess NGSIM dataset to extract leading and following vehicle information

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

parl

A high-performance distributed training framework for Reinforcement Learning

personalizing-adas-in-carla

Personalization of Assistive Driving in Carla Simulator

robotics-path-planning-04-quintic-polynomial-solver

Udacity Self-Driving Car Engineer Nanodegree: Quintic Polynomial Solver. & Paper 'Optimal Trajectory Generation for Dynamic Street Scenarios in a Frenet Frame'

self-driving-cars

Coursera Open Courses from University of Toronto

self-driving-vehicle-control-on-carla

Lane Keeping Assist function by applying Stanley method for lateral control and PID controller for longitudinal control using Python on the Carla simulator. 🚗

travia

a Traffic data Visualization and Annotation tool