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.
Highlights
The incidence of road traffic crashes is one of the leading causes of death worldwide, and the reduction of the number of traffic-related crashes has become a major social and public health challenge, considering the ever-increasing number of vehicles on the road
In the center of the forward-looking view images, an appropriate visual collision warning to the host vehicle is shown as a result of potential collision detection
Throughout the simulation time, the proposed system performed well in providing proper collision warning to the host vehicle
Summary
The incidence of road traffic crashes is one of the leading causes of death worldwide, and the reduction of the number of traffic-related crashes has become a major social and public health challenge, considering the ever-increasing number of vehicles on the road. Whereas on-board sensor data obtained with radar, lidar, and cameras enable the estimation of target vehicle information such as relative position, speed, and heading, vehicular communication data provide us with the best possible measurements on vital vehicle data including speed, yaw rate, and steering angle, which are obtained directly from the remote vehicle bus This communication network can further extend its reach when vehicles, roadside infrastructures, and vulnerable road users (e.g., pedestrians, cyclists, and motorcyclists) are equipped with wireless communication devices. Lidar, and camera sensor systems, the host vehicle is equipped with a (DSRC) transceiver, which enables the collection of information on the surrounding vehicles and dedicated short-range communications (DSRC) transceiver, which enables the collection of vulnerable road users (VRUs) equipped with DSRC devices through exchanging safety messages.
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