Maintaining driver attentiveness in shared-control autonomous driving

Radu Calinescu; Naif Alasmari; Mario Gleirscher

Maintaining driver attentiveness in shared-control autonomous driving

Radu Calinescu, Naif Alasmari, Mario Gleirscher

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We present a work-in-progress approach to improving driver attentiveness in cars provided with automated driving systems. The approach is based on a control loop that monitors the driver’s biometrics (eye movement, heart rate, etc.) and the state of the car; analyses the driver’s attentiveness using a deep neural network; plans driver alerts and changes in the speed of the car using a formally verified controller; and executes this plan using acoustic, visual and haptic actuators. The paper presents (i) the self-adaptive system formed by this monitor-analyse-plan-execute (MAPE) control loop, the car and the monitored driver, and (ii) the use of probabilistic model checking to synthesise the controller for the planning step of the MAPE loop.

Original language	English
Title of host publication	Software Engineering for Adaptive and Self-Managing Systems
Publisher	IEEE
Publication status	Accepted/In press - 12 Mar 2021
Event	16th International Symposium on Software Engineering for Adaptive and Self-Managing Systems - Virtual, Madrid, Spain Duration: 18 May 2021 → 21 May 2021 https://conf.researchr.org/track/seams-2021/seams-2021-papers#event-overview

Publication series

Name	IEEE Conference Proceedings
Publisher	IEEE

Conference

Conference	16th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
Abbreviated title	SEAMS 2021
Country/Territory	Spain
City	Madrid
Period	18/05/21 → 21/05/21
Internet address	https://conf.researchr.org/track/seams-2021/seams-2021-papers#event-overview

Keywords

autonomous driving
shared control
MAPE control loop
controller synthesis
probabilistic model checking

Access to Document

https://arxiv.org/abs/2102.03298Licence: CC BY-SA

Cite this

@inproceedings{0d51959d4b624076bbaa2c6010248ab4,

title = "Maintaining driver attentiveness in shared-control autonomous driving",

abstract = "We present a work-in-progress approach to improving driver attentiveness in cars provided with automated driving systems. The approach is based on a control loop that monitors the driver{\textquoteright}s biometrics (eye movement, heart rate, etc.) and the state of the car; analyses the driver{\textquoteright}s attentiveness using a deep neural network; plans driver alerts and changes in the speed of the car using a formally verified controller; and executes this plan using acoustic, visual and haptic actuators. The paper presents (i) the self-adaptive system formed by this monitor-analyse-plan-execute (MAPE) control loop, the car and the monitored driver, and (ii) the use of probabilistic model checking to synthesise the controller for the planning step of the MAPE loop.",

keywords = "autonomous driving, shared control, MAPE control loop, controller synthesis, probabilistic model checking",

author = "Radu Calinescu and Naif Alasmari and Mario Gleirscher",

year = "2021",

month = mar,

day = "12",

language = "English",

series = "IEEE Conference Proceedings",

publisher = "IEEE",

booktitle = "Software Engineering for Adaptive and Self-Managing Systems",

address = "United States",

note = "16th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2021 ; Conference date: 18-05-2021 Through 21-05-2021",

url = "https://conf.researchr.org/track/seams-2021/seams-2021-papers#event-overview",

}

Calinescu, R, Alasmari, N & Gleirscher, M 2021, Maintaining driver attentiveness in shared-control autonomous driving. in Software Engineering for Adaptive and Self-Managing Systems. IEEE Conference Proceedings, IEEE, 16th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, Madrid, Spain, 18/05/21. <https://arxiv.org/abs/2102.03298>

TY - GEN

T1 - Maintaining driver attentiveness in shared-control autonomous driving

AU - Calinescu, Radu

AU - Alasmari, Naif

AU - Gleirscher, Mario

PY - 2021/3/12

Y1 - 2021/3/12

N2 - We present a work-in-progress approach to improving driver attentiveness in cars provided with automated driving systems. The approach is based on a control loop that monitors the driver’s biometrics (eye movement, heart rate, etc.) and the state of the car; analyses the driver’s attentiveness using a deep neural network; plans driver alerts and changes in the speed of the car using a formally verified controller; and executes this plan using acoustic, visual and haptic actuators. The paper presents (i) the self-adaptive system formed by this monitor-analyse-plan-execute (MAPE) control loop, the car and the monitored driver, and (ii) the use of probabilistic model checking to synthesise the controller for the planning step of the MAPE loop.

AB - We present a work-in-progress approach to improving driver attentiveness in cars provided with automated driving systems. The approach is based on a control loop that monitors the driver’s biometrics (eye movement, heart rate, etc.) and the state of the car; analyses the driver’s attentiveness using a deep neural network; plans driver alerts and changes in the speed of the car using a formally verified controller; and executes this plan using acoustic, visual and haptic actuators. The paper presents (i) the self-adaptive system formed by this monitor-analyse-plan-execute (MAPE) control loop, the car and the monitored driver, and (ii) the use of probabilistic model checking to synthesise the controller for the planning step of the MAPE loop.

KW - autonomous driving

KW - shared control

KW - MAPE control loop

KW - controller synthesis

KW - probabilistic model checking

M3 - Conference contribution

T3 - IEEE Conference Proceedings

BT - Software Engineering for Adaptive and Self-Managing Systems

PB - IEEE

T2 - 16th International Symposium on Software Engineering for Adaptive and Self-Managing Systems

Y2 - 18 May 2021 through 21 May 2021

ER -