Abstract

Human errors are probably the main cause of car accidents, and this type of vehicle is one of the most dangerous forms of transport for people. The danger comes from the fact that on public roads there are simultaneously different types of actors (drivers, pedestrians or cyclists) and many objects that change their position over time, making difficult to predict their immediate movements. The intelligent transport system (ITS-G5) standard specifies the European communication technologies and protocols to assist public road users, providing them with relevant information. The scientific community is developing ITS-G5 applications for various purposes, among which is the increasing of pedestrian safety. This paper describes the developed work to implement an ITS-G5 prototype that aims at the increasing of pedestrian and driver safety in the vicinity of a pedestrian crosswalk by sending ITS-G5 decentralized environmental notification messages (DENM) to the vehicles. These messages are analyzed, and if they are relevant, they are presented to the driver through a car’s onboard infotainment system. This alert allows the driver to take safety precautions to prevent accidents. The implemented prototype was tested in a controlled environment pedestrian crosswalk. The results showed the capacity of the prototype for detecting pedestrians, suitable message sending, the reception and processing on a vehicle onboard unit (OBU) module and its presentation on the car onboard infotainment system.

Highlights

  • Automotive vehicles are one of the most dangerous people transportation options [1] and human errors are the main cause of accidents

  • This paper describes a functional ITS-G5 showcase application included in the ITS-G5 road safety application classification

  • The adopted test methodology was to install the prototype near a crosswalk in a controlled environment, place pedestrians moving near the crossing prototype near a crosswalk in a controlled environment, place pedestrians moving near the crossing sidewalk and have them cross the crosswalk, and have private cars passing through the crosswalk sidewalk and have them cross the crosswalk, and have private cars passing through the crosswalk with onboard unit (OBU) stations, in a limited amount of time

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Summary

Introduction

Automotive vehicles are one of the most dangerous people transportation options [1] and human errors are the main cause of accidents. The OBU station inside the vehicle supports 802.11p communication to receive and process DENM messages and to show them on the car infotainment system. These two modules working together establish an ITS application to improve the information quality available to drivers about the current conditions on the public roads, near crosswalks. The computer vision system is used to detect pedestrians on a crosswalk which will trigger the ITS-G5 technology to create and send the DENM messages It uses deep learning algorithms implemented on YOLO CNN [7] and on the OpenCV [8] framework.

State of Art
ETSI ITS-G5 Technology
Computer Vision for Pedestrian Detection
Prototype
ITS-G5 Prototype Architecture
The OBU the station uses
The OBU
Vehicle
Typical
Computer Vision Solution
Pedestrian
Evaluation and Results
RSU Pedestrian Detection
10. Test for scenario with one ROI:
RSU DENM
OBU DENM Messages Reception and Presentation
Conclusions
Full Text
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