A selection of state-of-the-art research materials on decision making and motion planning.
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Updated
Aug 26, 2020
A selection of state-of-the-art research materials on decision making and motion planning.
Intelligent Vehicle Perception Based on Inertial Sensing and Artificial Intelligence
a Map-Matching-based Python Toolbox for Vehicle Trajectory Reconstruction
Open data and performance hub for the City of Austin Transportation Department
Traffic Control Test Bed
[WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"
Deep neural networks for daily long-term traffic flow forecasting
Automatic License-Plate Detection using C#
Controlling Traffic Lights Using Image Processing
The vehicle orientation dataset is a large-scale dataset containing more than one million annotations for vehicle detection with simultaneous orientation classification using a standard object detection network.
An automatic vehicle speed measurement and speeding violation detection approach
This repository contains the code for the paper "UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control".
[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
Python scripts for Austin Transportation's ETL tasks
Repository for degree project: "Machine Learning-Based Data-Driven Traffic Flow Estimation from Mobile Data". Conducted at Research Institutes of Sweden (RISE).
FedML for Autonomous Driving (AD), Intelligent Transportation Systems (ITS), Connected and Automated Vehicles (CAV)
Welcome to quote our published papers, and the codes have been uploaded.
FindVehicle: A NER dataset in transportation to extract keywords describing vehicles on the road
This is the python code corresponding to the article "Deep learning-driven surveillance quality enhancement for maritime management promotion under low-visibility weathers ".
TelecomTM: A Fine-Grained and Ubiquitous Traffic Monitoring System Using Pre-Existing Telecommunication Fiber-Optic Cables as Sensors
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