Extraction and Analysis of Highway On-Ramp Merging Scenarios from Naturalistic Trajectory Data-Reference-Cited by-同舟云学术

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Extraction and Analysis of Highway On-Ramp Merging Scenarios from Naturalistic Trajectory Data

Published:2022-10-08 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
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Author:

Klitzke Lars¹,Gimm Kay¹,Koch Carsten²,Koster Frank³

Affiliation:

1. German Aerospace Center (DLR), Institute of Transportation Systems,Braunschweig,Germany

2. Hochschule Emden/Leer, University of Applied Sciences,Emden,Germany

3. German Aerospace Center (DLR), Institute for AI Safety and Security,Sankt Augustin / Ulm,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9921415/9921739/09922191.pdf?arnumber=9922191

Reference28 articles.

1. Identification of anomalies in lane change behavior using one-class SVM

2. Vehicle trajectory and lane change prediction using ANN and SVM classifiers

3. Real- World Maneuver Extraction for Autonomous Vehicle Validation: A Comparative Study

4. Comparison of rule-based and machine learning methods for lane change detection

5. Learning-based approach for online lane change intention prediction

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Human Merging Behavior in a Coupled Driving Simulator: How Do We Resolve Conflicts?;IEEE Open Journal of Intelligent Transportation Systems;2024

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