Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2019-07-18 000000m 13:22:30 - Overview

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Name (Institute + Shorttitle)highD - The Highway Drone Dataset 
Description (include details on usage, files and paper references)The Highway Drone Dataset consists of naturalistic trajectories of 110500 Vehicles Recorded at German Highways.

The highD dataset is a new dataset of naturalistic vehicle trajectories recorded on German highways. Using a drone, typical limitations of established traffic data collection methods such as occlusions are overcome by the aerial perspective. Traffic was recorded at six different locations and includes more than 110500 vehicles. Each vehicles trajectory, including vehicle type, size and manoeuvres, is automatically extracted. Using state-of-the-art computer vision algorithms, the positioning error is typically less than ten centimeters. Although the dataset was created for the safety validation of highly automated vehicles, it is also suitable for many other tasks such as the analysis of traffic patterns or the parameterization of driver models.

@inproceedings{highDdataset,
title={The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems},
author={Krajewski, Robert and Bock, Julian and Kloeker, Laurent and Eckstein, Lutz},
booktitle={2018 IEEE 21st International Conference on Intelligent Transportation Systems (ITSC)},
year={2018}}

The HighD dataset is free for non-commercial use only. If you are interested in commercial use, please contact us using the form above. Your data will be forwarded to our cooperation partner fka GmbH (www.fka.de) who will get in contact with you.

 
URL Linkhttps://www.highd-dataset.com/ 
Files (#)110500 
References (SKIPPED)
Category (SKIPPED) 
Tags (single words, spaced)drone uav highway image vehicle tracking germany traffic pattern 
Last Changed2019-07-18 
Turing (2.12+3.25=?) :-)