Vulnerable Road User protection using Collective Perception

Introduction

With Collective Perception Messages, vehicles are able to share objects detected by local sensors with others to enhance their respective perception range [0]. One primary goal is to include non-communicating traffic participants into Intelligent Transportation Systems. The group of non-communicating participants yielding the greatest benefit in terms of safety are Vulnerable Road Users (VRUs), which consists of pedestrians, cyclists and so on. However, including VRUs has an impact on communication characteristics such as channel load and message segmentation.

Tasks

Your task will be:

• Extend the Artery Simulation Environment [1] with the following features:
• Extract VRU information from the traffic simulator [2]
• Implement the detection of VRUs with vehicle sensors
• Include detected VRUs in Environmental Model (EnvMod)
• Design traffic scenarios (e.g turn maneuver) to evaluate the detection performance of collective perception
• Evaluate the impact of additional VRU objects regarding network performance

Skills

In order to complete this task you will need the following skills:

• Basic knowledge of C++
• Basic usage of Linux
• Understanding of Vehicular Networks

Of course these skills are not mandatory to begin with. You can also acquire during your work.

Material

• [0] ETSI TR 103 562: Analysis of the Collective Perception Service (CPS)
• [1] Artery V2X Simulation Framework
• [2] Simulation of Urban MObility

This introduction is currently only a rough idea. If you are interested in the topic, I am more then happy to discuss and lay out the details of the thesis together with you. Just contact me any time!