A9-Dataset: Multi-Sensor Infrastructure-Based Dataset for Mobility Research-Reference-Cited by-同舟云学术

A9-Dataset: Multi-Sensor Infrastructure-Based Dataset for Mobility Research

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

Cres Christian¹,Zimmer Walter¹,Strand Leah¹,Fortkord Maximilian¹,Dai Siyi¹,Lakshminarasimhan Venkatnarayanan¹,Knoll Alois¹

Affiliation:

1. Technical University of Munich, Boltzmannstr. 3,Chair of Robotics,Artificial Intelligence and Real-time Systems in the Department of Informatics,Garching,Germany,85748

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9826996/9826997/09827401.pdf?arnumber=9827401

Reference19 articles.

1. A survey of unmanned aerial vehicles (uav) for traffic surveillance;puri;Department of Computer Science and Engineering University of South Florida,2005

2. The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems

3. The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections

4. The rounD Dataset: A Drone Dataset of Road User Trajectories at Roundabouts in Germany

5. Providentia-a large-scale sensor system for the assistance of autonomous vehicles and its evaluation;krämmer;Journal of Field Robotics,2019

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