Cut-in Prediction in Egocentric Videos using Extended Environment Perception with Status Descriptors-Reference-Cited by-同舟云学术

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Cut-in Prediction in Egocentric Videos using Extended Environment Perception with Status Descriptors

Published:2022-07-09 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Advanced Robotics and Mechatronics (ICARM)
language:
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Author:

Bian Jiang¹,Li Bin¹,Chen Guang¹,Qu Sanqing¹,Li Zhijun²,Zou Tianpei¹,Knoll Alois³

Affiliation:

1. Tongji University,School of Automotive Studies,Shanghai,China,200092

2. University of Science and Technology of China,Department of Automation,China

3. Technical University of Munich,Chair of Robotics, Artificial Intelligence and Real-time Systems,Munich,Germany

Funder

Tongji University

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9959088/9959097/09959197.pdf?arnumber=9959197

Reference28 articles.

1. Simple online and realtime tracking with a deep association metric

2. Ultra Fast Structure-Aware Deep Lane Detection

3. Joint Vehicle Trajectory and Cut-In Prediction on Highways using Output Constrained Neural Networks

4. Video Action Recognition for Lane-Change Classification and Prediction of Surrounding Vehicles

5. Distinct Two-Stream Convolutional Networks for Human Action Recognition in Videos Using Segment-Based Temporal Modeling

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