HybridNet: A fast vehicle detection system for autonomous driving-Reference-Cited by-同舟云学术

HybridNet: A fast vehicle detection system for autonomous driving

Published:2019-02 Issue: Volume:70 Page:79-88
ISSN:0923-5965
Container-title:Signal Processing: Image Communication
language:en
Short-container-title:Signal Processing: Image Communication

Author:

Dai Xuerui

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference66 articles.

1. Vehicle detection on a video traffic scene: Review and new perspectives;Gazzah,2017

2. D. of Transportation National Highway Traffic Safety Administration, Traffic safety facts, 2011. Available: http://wwwnrd.nhtsa.dot.gov.

3. Publications available online at this Website and other World Bank Web sites: Road safety, 2016. Available: http://www.worldbank.org/transport/roads/safety.htm#economic.

4. On-road vehicle detection: a review;Sun;IEEE Trans. Pattern Anal. Mach. Intell.,2006

5. A review of recent developments in vision-based vehicle detection;Sivaraman,2013

Cited by 71 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. A visual detection algorithm for autonomous driving road environment perception;Engineering Applications of Artificial Intelligence;2024-07

2. A novel real-time object detection method for complex road scenes based on YOLOv7-tiny;Cluster Computing;2024-06-26

3. Real-Time Road Damage Detection and Infrastructure Evaluation Leveraging Unmanned Aerial Vehicles and Tiny Machine Learning;IEEE Internet of Things Journal;2024-06-15

4. Edge-Intelligence-Based Computation Offloading Technology for Distributed Internet of Unmanned Aerial Vehicles;IEEE Internet of Things Journal;2024-06-15

5. Design of a Novel Back-Propagated Relu Convolutional Neural Networks for Pest Identification and Prediction;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05