Scipediacontent: Scipediacontent moved page Draft Content 366671828 to 238,295gj

2021-03-22T20:31:33Z

Scipediacontent moved page Draft Content 366671828 to 238,295gj

Scipediacontent: Created page with " == 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 si..."

2021-03-22T20:30:46Z

Created page with " == 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 si..."

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== 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

== Full document ==
<pdf>Media:Draft_Content_366671828-beopen1191-6583-document.pdf</pdf>

== Original document ==

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

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

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

* [http://europepmc.org/articles/PMC6982806 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://www.mdpi.com/1424-8220/20/1/288/pdf]

* [https://dblp.uni-trier.de/db/journals/sensors/sensors20.html#BaekJCL20 https://dblp.uni-trier.de/db/journals/sensors/sensors20.html#BaekJCL20],
: [https://www.mdpi.com/1424-8220/20/1/288 https://www.mdpi.com/1424-8220/20/1/288],
: [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982806 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982806],
: [https://doi.org/10.3390/s20010288 https://doi.org/10.3390/s20010288],
: [https://academic.microsoft.com/#/detail/2997966207 https://academic.microsoft.com/#/detail/2997966207] under the license cc-by

* [https://www.mdpi.com/1424-8220/20/1/288 https://www.mdpi.com/1424-8220/20/1/288],
: [https://doaj.org/toc/1424-8220 https://doaj.org/toc/1424-8220]

* [https://www.mdpi.com/1424-8220/20/1/288/pdf https://www.mdpi.com/1424-8220/20/1/288/pdf],
: [http://dx.doi.org/10.3390/s20010288 http://dx.doi.org/10.3390/s20010288]

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

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Scipediacontent: Scipediacontent moved page Draft Content 366671828 to 238,295gj

Scipediacontent: Created page with " == 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 si..."