Latest revision as of 21:31, 22 March 2021

Abstract

Driver inattention is one of the leading causes of traffic crashes worldwide. Providing the driver with an early warning prior to a potential collision can significantly reduce the fatalities and level of injuries associated with vehicle collisions. In order to monitor the vehicle surroundings and predict collisions, on-board sensors such as radar, lidar, and cameras are often used. However, the driving environment perception based on these sensors can be adversely affected by a number of factors such as weather and solar irradiance. In addition, potential dangers cannot be detected if the target is located outside the limited field-of-view of the sensors, or if the line of sight to the target is occluded. In this paper, we propose an approach for designing a vehicle collision warning system based on fusion of multisensors and wireless vehicular communications. A high-level fusion of radar, lidar, camera, and wireless vehicular communication data was performed to predict the trajectories of remote targets and generate an appropriate warning to the driver prior to a possible collision. We implemented and evaluated the proposed vehicle collision system in virtual driving environments, which consisted of a vehicle&ndash

vehicle collision scenario and a vehicle&ndash

pedestrian collision scenario.

Document type: Article

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The different versions of the original document can be found in:

• http://dx.doi.org/10.3390/s20010288 under the license https://creativecommons.org/licenses/by

• http://dx.doi.org/10.3390/s20010288 under the license http://creativecommons.org/licenses/by/3.0/

• http://europepmc.org/articles/PMC6982806 under the license https://creativecommons.org/licenses/by/4.0

• https://www.mdpi.com/1424-8220/20/1/288/pdf

• https://dblp.uni-trier.de/db/journals/sensors/sensors20.html#BaekJCL20,

https://www.mdpi.com/1424-8220/20/1/288,

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982806,

https://doi.org/10.3390/s20010288,

https://academic.microsoft.com/#/detail/2997966207 under the license cc-by

• https://www.mdpi.com/1424-8220/20/1/288,

https://doaj.org/toc/1424-8220

• https://www.mdpi.com/1424-8220/20/1/288/pdf,

http://dx.doi.org/10.3390/s20010288

under the license https://creativecommons.org/licenses/by/4.0/