U19-Net: a deep learning approach for obstacle detection in self-driving cars

Author:

Cervera-Uribe Albert AarónORCID,Méndez-Monroy Paul Erick

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Cited by 4 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. Deep Learning-Based Object Detection Techniques for Self-Driving Cars: an in-Depth Analysis;2023 International Conference on Electrical, Computer and Energy Technologies (ICECET);2023-11-16

2. Regional feature fusion for on-road detection of objects using camera and 3D-LiDAR in high-speed autonomous vehicles;Soft Computing;2023-10-03

3. Computer Vision Applications in Intelligent Transportation Systems: A Survey;Sensors;2023-03-08

4. Anomaly Detection in Critical-Infrastructures using Autoencoders: A Survey;IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society;2022-10-17

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