CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 深度强化学习
A Temporal-based Deep Learning Method for Multiple Objects Detection in Autonomous Driving
Chen, Yaran1,2; Zhao, Dongbin1,2; Li, Haoran1,2; Li, Dong1,2; Guo, Ping3
2018-07
Conference Name2018 International Joint Conference on Neural Networks
Conference Date8-13 July 2018
Conference PlaceRio de Janeiro, Brazil
Abstract

This paper proposes a novel vision-based object detection method in autonomous driving, which introduces the temporal information into the deep learning-based detection method for moving object detection. Vision-based object detection is a critical technology for autonomous driving. The objects in the real world such as driving cars, don't have great changes in their positions and velocities. So the position change of objects between two consecutive frames is not large. This is usually ignored by traditional works, which usually use object detection methods on still-images to detect moving objects. Considering the relationship among consecutive frames (temporal information), we present a robust and real-time tracking method following image detection to refine the object detection results. Based on the three key attributes (distances, sizes and positions), the tracking method aims to build the association between the detected objects on the current frame and those in previous frames. The proposed object detection with temporal information dramatically improves the performance of existing object detection algorithms based on stillimage. With the proposed method, we won the champion in the preceding vehicle detection task in 2017 intelligent vehicle future challenge(2017 IVFC).

Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23521
Collection复杂系统管理与控制国家重点实验室_深度强化学习
Affiliation1.Institute of Automation, Chinese Academy of Sciences
2.University of Chinese Academy of Sciences
3.Beijing Normal University
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Chen, Yaran,Zhao, Dongbin,Li, Haoran,et al. A Temporal-based Deep Learning Method for Multiple Objects Detection in Autonomous Driving[C],2018.
Files in This Item: Download All
File Name/Size DocType Version Access License
2018.IJCNN_VehicleDe(2116KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Chen, Yaran]'s Articles
[Zhao, Dongbin]'s Articles
[Li, Haoran]'s Articles
Baidu academic
Similar articles in Baidu academic
[Chen, Yaran]'s Articles
[Zhao, Dongbin]'s Articles
[Li, Haoran]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Chen, Yaran]'s Articles
[Zhao, Dongbin]'s Articles
[Li, Haoran]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 2018.IJCNN_VehicleDetection.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.