A Framework for Estimating Long Term Driver Behavior

07/11/2016
by   Vijay Gadepally, et al.
0

The authors present a cyber-physical systems study on the estimation of driver behavior in autonomous vehicles and vehicle safety systems. Extending upon previous work, the approach described is suitable for the long term estimation and tracking of autonomous vehicle behavior. The proposed system makes use of a previously defined Hybrid State System and Hidden Markov Model (HSS+HMM) system which has provided good results for driver behavior estimation. The HSS+HMM system utilizes the hybrid characteristics of decision-behavior coupling of many systems such as the driver and the vehicle, uses Kalman Filter estimates of observable parameters to track the instantaneous continuous state, and estimates the most likely driver state. The HSS+HMM system is encompassed in a HSS structure and inter-system connectivity is determined by using Signal Processing and Pattern Recognition techniques. The proposed method is suitable for scenarios that involve unknown decisions of other individuals, such as lane changes or intersection precedence/access. The long term driver behavior estimation system involves an extended HSS+HMM structure that is capable of including external information in the estimation process. Through the grafting and pruning of metastates, the HSS+HMM system can be dynamically updated to best represent driver choices given external information. Three application examples are also provided to elucidate the theoretical system.

READ FULL TEXT

page 3

page 6

page 9

research
04/20/2020

Estimating the Probability That a Vehicle Reaches a Near-Term Goal State Using Multiple Lane Changes

This paper presents a model to estimate the probability of reaching a ne...
research
11/14/2018

Looking at the Driver/Rider in Autonomous Vehicles to Predict Take-Over Readiness

Continuous estimation the driver's take-over readiness is critical for s...
research
03/26/2023

The Application of Driver Models in the Safety Assessment of Autonomous Vehicles: A Survey

Driver models play a vital role in developing and verifying autonomous v...
research
08/15/2018

An Underactuated Vehicle Localization Method in Marine Environments

The underactuated vehicles are apposite for the long-term deployment and...
research
12/11/2019

Lane Detection For Prototype Autonomous Vehicle

Unmanned vehicle technologies are an area of great interest in theory an...
research
12/16/2020

Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems

Kalman Filter (KF) is widely used in various domains to perform sequenti...
research
03/03/2019

Predicting Vehicle Behaviors Over An Extended Horizon Using Behavior Interaction Network

Anticipating possible behaviors of traffic participants is an essential ...

Please sign up or login with your details

Forgot password? Click here to reset