@article{ref1,
title="Vehicle trajectory prediction and collision warning via fusion of multisensors and wireless vehicular communications",
journal="Sensors (Basel)",
year="2020",
author="Baek, Minjin and Jeong, Donggi and Choi, Dongho and Lee, Sangsun",
volume="20",
number="1",
pages="e288-e288",
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-vehicle collision scenario and a vehicle-pedestrian collision scenario.<p /> <p>Language: en</p>",
language="en",
issn="1424-8220",
doi="10.3390/s20010288",
url="http://dx.doi.org/10.3390/s20010288"
}