Title :
The Impact of Cooperative Perception on Decision Making and Planning of Autonomous Vehicles
Author :
Seong-Woo Kim ; Wei Liu ; Ang, Marcelo H. ; Frazzoli, Emilio ; Rus, Daniela
Author_Institution :
GECE, Seoul Nat. Univ., Seoul, South Korea
Abstract :
In this article, we investigate how cooperative perception gives the impact on decision making and planning of autonomous vehicles on the road. Cooperative perception is the exchange of local sensing information with other vehicles or infrastructures via wireless communications, by which the perception range can be considerably extended up to the boundary of connected vehicles. This augmented perception capability can provide oncoming traffic information beyond line-of-sight and field-of-view, which enables better control of both manned and unmanned vehicles. In this article, we first present an on-road sensing system to provide a see-through/lifted-seat/satellite view to drivers. Then, we investigate how the extended perception capability can contribute to situation awareness on the road. Finally, we provide methods for safer and smoother autonomous driving using the augmented situation awareness and perception capability. All introduced and proposed concepts are implemented and validated on autonomous vehicles.
Keywords :
decision making; mobile communication; mobile robots; road vehicles; augmented perception capability; augmented situation awareness; autonomous vehicles planning; cooperative perception; decision making; extended perception capability; field-of-view; lifted-seat; local sensing information; manned vehicles; on-road sensing system; oncoming traffic information; satellite view; see-through; unmanned vehicles; wireless communications; Hidden Markov models; Mobile robots; Planning; Roads; Satellites; Sensors; Vehicles;
Journal_Title :
Intelligent Transportation Systems Magazine, IEEE
DOI :
10.1109/MITS.2015.2409883