Title
Determining Easily Avoidable Stop Position By Predicting Surrounding Vehicles' Paths
Abstract
We propose a method for deciding an avoidable stop position for a vehicle to not disturb the surrounding traffic. A vehicle needs to pull over and make an autonomous emergency stop when a driver has a seizure and loses consciousness. To develop such an autonomous stop system on a narrow road, considering the surrounding vehicles and not hindering traffic are imperative to rescue a patient. We present an approach based on predicting the paths of other vehicles to avoid the ego-vehicle, a load index of a following vehicle driver for predicted paths, and an index that shows the interference between the paths of the following and oncoming vehicle. The path prediction is computed by applying a lattice path planner comprising the vehicle's position, posture, and path curvature. The load index of the following vehicle is calculated with respect to the cumulative curvature of the predicted path. The interference index of the following and oncoming vehicles is estimated by evaluating the area that both vehicles pass to avoid the ego-vehicle. The simulation results showed the ego vehicle had to pull over by 1.5 m over the road shoulder and 1.0 m ahead of a parked vehicle on the opposite lane.
Year
Venue
Field
2017
2017 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII)
Curvature,Control theory,Control engineering,Interference (wave propagation),Engineering
DocType
ISSN
Citations 
Conference
2474-2317
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Masahiro Kajiwara100.34
Kazunori Ohno226440.48
Ryunosuke Hamada352.86
Takahiro Suzuki4114.38
Satoshi Tadokoro51014177.55