Traffic Object Detection and Recognition Based on the Attentional Visual Field of Drivers-Reference-Cited by-同舟云学术

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Traffic Object Detection and Recognition Based on the Attentional Visual Field of Drivers

Published:2021 Issue: Volume: Page:1-1
ISSN:2379-8904
Container-title:IEEE Transactions on Intelligent Vehicles
language:
Short-container-title:IEEE Trans. Intell. Veh.

Author:

Shirpour Mohsen,Khairdoost Nima,Bauer Michael,Beauchemin Steven

Funder

NSERC National Science and Engineering Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/7274857/7448921/09645176.pdf?arnumber=9645176

Cited by 18 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. Spatial Environment Perception and Sensing in Automated Systems: A Review;IEEE Sensors Journal;2024-07-15

2. V2V Based Visual Cooperative Perception for Connected Autonomous Vehicles: Far-Sight and See-Through;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

3. Hierarchical Perception Enhancement for Different Levels of Autonomous Driving: A Review;IEEE Sensors Journal;2024-06-01

4. Investigation of spectral responsivity of imaging sensor and systems with a differential approach;Sixth Conference on Frontiers in Optical Imaging and Technology: Novel Technologies in Optical Systems;2024-04-30

5. Global vision object detection using an improved Gaussian Mixture model based on contour;PeerJ Computer Science;2024-01-18

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