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<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cfmch5qrm5ckxpkho4uhbkgznm" style="color: black;">2015 IEEE 18th International Conference on Intelligent Transportation Systems</a>
The existing R&D efforts for protecting vulnerable road users (VRU) are mainly based on perception techniques, which aim to detect VRUs utilizing vehicle embedded sensors. The efficiency of such a technique is largely affected by the sensor's visibility condition. Vehicle-to-Pedestrian (V2P) communication can also contribute to the VRU safety by allowing vehicles and pedestrians to exchange information. This solution is, however, largely affected by the reliability of the exchanged information,<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/itsc.2015.304">doi:10.1109/itsc.2015.304</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/itsc/MerdrignacSJN15.html">dblp:conf/itsc/MerdrignacSJN15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hlnezrhsgrcpzbqg37jp53dv6u">fatcat:hlnezrhsgrcpzbqg37jp53dv6u</a> </span>
more »... which most generally is the GPS data. Since perception and communication have complementary features, we can expect that a combination of such approaches can be a solution to the VRU safety. This is the motivation of the current work. We develop theoretical models to present the characteristics of perception and communications systems. Experimental studies are conducted to compare the performances of these techniques in real-world environments. Our results show that the perception system reliably detects pedestrians and other objects within 50 m of range in the line-of-sight (LOS) condition. In contrast, the V2P communication coverage is approximately 340 and 200 meters in LOS and non-LOS (NLOS) conditions, respectively. However, the communication-based system fails to correctly position the VRU w.r.t the vehicle, preventing the system from meeting the safety requirement. Finally, we propose a cooperative system that combines the outputs of the communication and perception systems.
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