The exiD Dataset: A Real-World Trajectory Dataset of Highly Interactive Highway Scenarios in Germany-Reference-Cited by-同舟云学术

The exiD Dataset: A Real-World Trajectory Dataset of Highly Interactive Highway Scenarios in Germany

Published:2022-06-05 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Intelligent Vehicles Symposium (IV)
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Author:

Moers Tobias¹,Vater Lennart²,Krajewski Robert³,Bock Julian³,Zlocki Adrian¹,Eckstein Lutz²

Affiliation:

1. fka GmbH,Aachen,Germany,52074

2. RWTH Aachen University,research department Vehicle Intelligence & Automated Driving, Institute for Automotive Engineering,Aachen,Germany,52074

3. RWTH Aachen University,Aachen,Germany,52074

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9826996/9826997/09827305.pdf?arnumber=9827305

Reference30 articles.

1. Near miss determination through use of a scale of danger;hayward;Pennsylvania State University University Park,1972

2. Radiate: A radar dataset for automotive perception;sheeny;arXiv preprint arXiv 2010 09084,2020

3. nuscenes: A multimodal dataset for autonomous driving;caesar;arXiv preprint arXiv 1903 11593,2019

4. Ngsim - next generation simulation,2008

5. Interaction dataset: An international, adversarial and cooperative motion dataset in interactive driving scenarios with semantic maps;zhan;arXiv 1910 03088 [cs],2019

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