Abstract
Autonomous vehicles are equipped with multiple sensors that allow perception of the road environment. However, there are always challenges in terms of measurement accuracy, dynamics of the road driving conditions, and extended perception availability. Vehicular communication technologies have already been extensively researched, and the IEEE 802.11p standard has been approved. Therefore, communications could help in extending the perception of the autonomous vehicles if proper information transmission mechanisms are utilized. In fact, this paper proposes a novel and innovative design that will allow vehicles to extend their perception by exchanging a smaller number of packets than needed and estimate the actual perception of the environment. First, we propose a novel MAC layer that is compatible with the IEEE 802.11p standard that allows vehicles to recover extra perceptional areas of the environment as they receive new packets. Second, we demonstrate that this approach will result in a better utilization of the communication channel and acceptable perception accuracy of the environment, compared to transmitting the complete information.
Highlights
It is forecasted that by 2025, autonomous cars will enter several markets in North America and other developed countries [1]. e existence of autonomous cars might not fully substitute the current model of human driving the car, especially in environments that lack proper transportation infrastructure
In the sequel, extended perception is the exchange of perception information from one vehicle to another
We propose an extended perception scheme that allows vehicles to sense the road environment and exchange that information with their neighboring vehicles
Summary
It is forecasted that by 2025, autonomous cars will enter several markets in North America and other developed countries [1]. e existence of autonomous cars might not fully substitute the current model of human driving the car, especially in environments that lack proper transportation infrastructure. Extended perception can bring completely new information to the vehicle such as in bringing attention to a new object on the road, or can enhance the current information by providing the same information with a better accuracy in terms of detection, localization, or resolution. Autonomous vehicles would be able to exchange information using vehicular communications technology. Optimizing the data acquisition to be compatible with the communications technology limitations is needed This must be performed with an innovative channel congestion avoidance and environment perception method. We propose an extended perception scheme that allows vehicles to sense the road environment and exchange that information with their neighboring vehicles. We focus on providing the sensing information to the other vehicles with the best number of transmitted packets that allow the communication channel to operate without congestion.
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