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Title: | VANET meets deep learning : the effect of packet loss on the object detection performance | Authors: | Wang, Y Menkovski, V Ho, IWH Pechenizkiy, M |
Issue Date: | 2019 | Source: | In the Proceedings of 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), 28 April 2019 - 01 May 2019, Kuala Lumpur, Malaysia | Abstract: | The integration of machine learning and inter- vehicle communications enables various active safety measures in internet-of-vehicles. Specifically, the environmental perception is processed by the deep learning module from vehicular sensor data, and the extended perception range is achieved by exchanging traffic-related information through inter-vehicle communications. Under such condition, the intelligent vehicles can not only percept the surrounding environment from self-collected sensor data, but also expand their perception range through the information sharing mechanism of Vehicular Ad-hoc Network (VANET). However, the dynamic urban environment in VANET leads to a number of issues, such as the effect of packet loss on the real-time perception accuracy of the received sensor data. In this work, we propose a point cloud object detection module via an end-to-end deep learning system and enable wireless communications between vehicles to enhance driving safety and facilitate real-time 3D mapping construction. Besides, we build a semi- realistic traffic scenario based on the Mong Kok district in Hong Kong to analyze the network performance of data dissemination under the dynamic environment. Finally, we evaluate the impact of data loss on the deep-learning-based object detection performance. Our results indicate that data loss beyond 50% (which is a common scene based on our simulation) can lead to a rapid decline of the object detection accuracy. | Keywords: | 3D point cloud Autonomous driving Deep learning SUMO VANET |
Publisher: | Institute of Electrical and Electronics Engineers | ISBN: | 978-172811217-6 | DOI: | 10.1109/VTCSpring.2019.8746657 | Description: | 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), 28 April 2019 - 01 May 2019, Kuala Lumpur, Malaysia | Rights: | ©2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication Y. Wang, V. Menkovski, I. W. -H. Ho and M. Pechenizkiy, "VANET Meets Deep Learning: The Effect of Packet Loss on the Object Detection Performance," 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), Kuala Lumpur, Malaysia, 2019 is available at https://doi.org/10.1109/VTCSpring.2019.8746657. |
Appears in Collections: | Conference Paper |
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Ho_Vanet_Meets_Deep.pdf | Pre-Published version | 1.85 MB | Adobe PDF | View/Open |
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