Drive&Act: A Multi-Modal Dataset for Fine-Grained Driver Behavior Recognition in Autonomous Vehicles

Author:

Martin Manuel1,Roitberg Alina2,Haurilet Monica2,Horne Matthias3,ReiB Simon4,Voit Michael1,Stiefelhagen Rainer4

Affiliation:

1. Fraunhofer IOSB

2. KIT

3. Herr

4. Karlsruhe Institute of Technology

Publisher

IEEE

Cited by 141 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. Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videos;IEEE Transactions on Intelligent Transportation Systems;2024-09

2. AutoTherm: A Dataset and Benchmark for Thermal Comfort Estimation Indoors and in Vehicles;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-08-22

3. Machine learning-based real time identification of driver posture during driving;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2024-07-29

4. GR‐Former: Graph‐reinforcement transformer for skeleton‐based driver action recognition;IET Computer Vision;2024-07-10

5. Human action recognition with transformer based on convolutional features;Intelligent Decision Technologies;2024-06-07

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