Paper Info
Title
Estimation Of Driver Awareness Of Pedestrian Based On Hidden Markov Model
Abstract
Understanding driver behaviors is an important need for the Advanced Driver Assistance Systems. In particular, the pedestrian detection systems become extremely distracting and annoying when they inform the driver with unnecessary warning messages. In this paper, we propose to study the driver behaviors whenever a pedestrian appears in front of the vehicle. A method based on the driving actions and the Hidden Markov Model (HMM) algorithm is developed to classify the driver awareness of pedestrian and the driver unawareness of pedestrian. The method is successfully validated using the collected data from the experiments that are conducted on a driving simulator. Furthermore, two simple methods based on the static parameters such as the Time-To-Collision and the Required Deceleration Parameter are also applied to our problem and are compared to the proposed method. The result shows a significant improvement of the HMM-based method compared to the simple ones.
Year
Venue
Keywords
2015
2015 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV)
Driver Behaviors, Pedestrian Safety, Situation Awareness, Driving Simulation, Hidden Markov Model
Field
DocType
ISSN
Pedestrian,Driving simulator,Situation awareness,Simulation,Advanced driver assistance systems,Engineering,Hidden Markov model,Driving simulation,Pedestrian detection
Conference
1931-0587
Citations 
PageRank 
References 
2
0.39
8
Authors
5
Name
Order
Citations
PageRank
minh tien phan131.11
Vincent Frémont212314.18
Indira Thouvenin3448.05
mohamed sallak430.77
Véronique Cherfaoui515016.92