Communication Network Architectures for Driver Assistance Systems
Autor: | Ibrahim Habib, Eros Innocenti, Romeo Giuliano, Franco Mazzenga, Francesca Fallucchi |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Automobile Driving
Computer science Pedestrian detection Real-time computing Latency (audio) Advanced driver assistance systems TP1-1185 Pedestrian Communications system Biochemistry Article Analytical Chemistry convolutional neural networks Wireless Humans Electrical and Electronic Engineering Instrumentation Pedestrians business.industry Chemical technology Accidents Traffic pedestrian detection Collision Telecommunications network system information block Atomic and Molecular Physics and Optics communication system business |
Zdroj: | Sensors (Basel, Switzerland) Sensors Volume 21 Issue 20 Sensors, Vol 21, Iss 6867, p 6867 (2021) |
ISSN: | 1424-8220 |
Popis: | Autonomous Driver Assistance Systems (ADAS) are of increasing importance to warn vehicle drivers of potential dangerous situations. In this paper, we propose one system to warn drivers of the presence of pedestrians crossing the road. The considered ADAS adopts a CNN-based pedestrian detector (PD) using the images captured from a local camera and to generate alarms. Warning messages are then forwarded to vehicle drivers approaching the crossroad by means of a communication infrastructure using public radio networks and/or local area wireless technologies. Three possible communication architectures for ADAS are presented and analyzed in this paper. One format for the alert message is also presented. Performance of the PDs are analyzed in terms of accuracy, precision, and recall. Results show that the accuracy of the PD varies from 70% to 100% depending on the resolution of the videos. The effectiveness of each of the considered communication solutions for ADAS is evaluated in terms of the time required to forward the alert message to drivers. The overall latency including the PD processing and the alert communication time is then used to define the vehicle braking curve, which is required to avoid collision with the pedestrian at the crossroad. |
Databáze: | OpenAIRE |
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