Evaluation of Embedded Devices for Real-Time Video Lane Detection

被引：0
|
作者：
Podbucki, Kacper [1 ]
Suder, Jakub [1 ]
Marciniak, Tomasz [1 ]
Dabrowski, Adam [1 ]
机构：
[1] Poznan Univ Tech, Fac Automat Control Robot & Elect Engn, Inst Automat Control & Robot, Div Signal Proc & Elect Syst, Jana Pawla II 24, PL-60965 Poznan, Poland
来源：
2022 29TH INTERNATIONAL CONFERENCE ON MIXED DESIGN OF INTEGRATED CIRCUITS AND SYSTEM (MIXDES 2022) | 2022年
基金：
欧盟地平线“2020”;
关键词：
lane detection; embedded systems; video analysis; microprocessor power modes; NVIDIA Jetson; Raspberry Pi;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a comparison of the performance of embedded systems processing video sequences in real time. As part of the work, practical programs for detecting lanes located on airport areas, which allow autonomous vehicles to move around the airport, were tested. The following modules were used during the tests: Raspberry Pi 4B, NVIDIA Jetson Nano, NVIDIA Jetson Xavier AGX. For modules from the NVIDIA Jetson family, the maximum performance of video stream processing depending on the resolution and the selected power mode has been checked. The results of the experiment show that NVIDIA Jetson modules have sufficient computing resources to effectively track lines based on the camera image, even in low power modes.
引用
收藏
页码：187 / 191
页数：5
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