Learning to drive with and without intelligent computer systems and sensors to assist

David Sanders; Giles Tewkesbury; Hassan Parchizadeh; Joshua James Robertson; Peter Osagie Omoarebun; Manish Malik

doi:10.1007/978-3-030-01054-6_81

Learning to drive with and without intelligent computer systems and sensors to assist

David Sanders, Giles Tewkesbury, Hassan Parchizadeh, Joshua James Robertson, Peter Osagie Omoarebun, Manish Malik

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

184 Downloads (Pure)

Abstract

This paper investigates whether using sensors during training is more effective than not. Results are presented from investigating novice vehicle drivers learning while using varying amounts of sensor support. Qualitative and quantitative data evaluations are made to compare drivers with sensors against those without while they learn to drive a vehicle. Reliance on the teaching processes used was recorded while various amounts of support were given by the intelligent systems. The work considers whether skilled drivers trained with sensors assisting them during training, could then work well without any assistance from sensors. Finally, some results are included. In all situations, assistance becomes more useful as environments became more complicated.

Original language	English
Title of host publication	Intelligent Systems and Applications
Subtitle of host publication	Proceedings of the 2018 Intelligent Systems Conference (IntelliSys) Volume 1
Editors	Kohei Arai, Supriya Kapoor, Rahul Bhatia
Publisher	Springer
Pages	1171-1181
Number of pages	11
ISBN (Electronic)	978-3-030-01054-6
ISBN (Print)	978-3-030-01053-9
DOIs	https://doi.org/10.1007/978-3-030-01054-6_81
Publication status	Published - 1 Jan 2019
Event	IntelliSys 2018 - London, United Kingdom Duration: 6 Sept 2018 → 7 Sept 2018

Publication series

Name	Advances in Intelligent Systems and Computing
Publisher	Springer
Volume	868
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	IntelliSys 2018
Country/Territory	United Kingdom
City	London
Period	6/09/18 → 7/09/18

Access to Document

10.1007/978-3-030-01054-6_81

Final Conf paper - 2018 Learning to drive with and wthout sensors
The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-030-01054-6_81.
Accepted author manuscript (Post-print), 1.01 MBLicence: Unspecified

http://saiconference.com/Conferences/IntelliSys2018

Using artificial intelligence to share control of a powered-wheelchair between a wheelchair user and an intelligent sensor system
Sanders, D. (PI), Gegov, A. (CoI) & Haddad, M. (Team Member)
Engineering and Physical Sciences Research Council
1/11/18 → 1/11/22
Project: Research

File

Cite this

Sanders, D., Tewkesbury, G., Parchizadeh, H., Robertson, J. J., Omoarebun, P. O., & Malik, M. (2019). Learning to drive with and without intelligent computer systems and sensors to assist. In K. Arai, S. Kapoor, & R. Bhatia (Eds.), Intelligent Systems and Applications: Proceedings of the 2018 Intelligent Systems Conference (IntelliSys) Volume 1 (pp. 1171-1181). (Advances in Intelligent Systems and Computing; Vol. 868). Springer. https://doi.org/10.1007/978-3-030-01054-6_81

Sanders, David ; Tewkesbury, Giles ; Parchizadeh, Hassan et al. / Learning to drive with and without intelligent computer systems and sensors to assist. Intelligent Systems and Applications: Proceedings of the 2018 Intelligent Systems Conference (IntelliSys) Volume 1. editor / Kohei Arai ; Supriya Kapoor ; Rahul Bhatia. Springer, 2019. pp. 1171-1181 (Advances in Intelligent Systems and Computing).

@inproceedings{c49c297fba094fe7ade929eb7a078392,

title = "Learning to drive with and without intelligent computer systems and sensors to assist",

abstract = "This paper investigates whether using sensors during training is more effective than not. Results are presented from investigating novice vehicle drivers learning while using varying amounts of sensor support. Qualitative and quantitative data evaluations are made to compare drivers with sensors against those without while they learn to drive a vehicle. Reliance on the teaching processes used was recorded while various amounts of support were given by the intelligent systems. The work considers whether skilled drivers trained with sensors assisting them during training, could then work well without any assistance from sensors. Finally, some results are included. In all situations, assistance becomes more useful as environments became more complicated.",

author = "David Sanders and Giles Tewkesbury and Hassan Parchizadeh and Robertson, {Joshua James} and Omoarebun, {Peter Osagie} and Manish Malik",

year = "2019",

month = jan,

day = "1",

doi = "10.1007/978-3-030-01054-6_81",

language = "English",

isbn = "978-3-030-01053-9",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "1171--1181",

editor = "Kohei Arai and Supriya Kapoor and Rahul Bhatia",

booktitle = "Intelligent Systems and Applications",

address = "Netherlands",

note = "IntelliSys 2018 ; Conference date: 06-09-2018 Through 07-09-2018",

}

Sanders, D , Tewkesbury, G, Parchizadeh, H, Robertson, JJ, Omoarebun, PO & Malik, M 2019, Learning to drive with and without intelligent computer systems and sensors to assist. in K Arai, S Kapoor & R Bhatia (eds), Intelligent Systems and Applications: Proceedings of the 2018 Intelligent Systems Conference (IntelliSys) Volume 1. Advances in Intelligent Systems and Computing, vol. 868, Springer, pp. 1171-1181, IntelliSys 2018, London, United Kingdom, 6/09/18. https://doi.org/10.1007/978-3-030-01054-6_81

Learning to drive with and without intelligent computer systems and sensors to assist. / Sanders, David ; Tewkesbury, Giles; Parchizadeh, Hassan et al.
Intelligent Systems and Applications: Proceedings of the 2018 Intelligent Systems Conference (IntelliSys) Volume 1. ed. / Kohei Arai; Supriya Kapoor; Rahul Bhatia. Springer, 2019. p. 1171-1181 (Advances in Intelligent Systems and Computing; Vol. 868).

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

TY - GEN

T1 - Learning to drive with and without intelligent computer systems and sensors to assist

AU - Sanders, David

AU - Tewkesbury, Giles

AU - Parchizadeh, Hassan

AU - Robertson, Joshua James

AU - Omoarebun, Peter Osagie

AU - Malik, Manish

PY - 2019/1/1

Y1 - 2019/1/1

N2 - This paper investigates whether using sensors during training is more effective than not. Results are presented from investigating novice vehicle drivers learning while using varying amounts of sensor support. Qualitative and quantitative data evaluations are made to compare drivers with sensors against those without while they learn to drive a vehicle. Reliance on the teaching processes used was recorded while various amounts of support were given by the intelligent systems. The work considers whether skilled drivers trained with sensors assisting them during training, could then work well without any assistance from sensors. Finally, some results are included. In all situations, assistance becomes more useful as environments became more complicated.

AB - This paper investigates whether using sensors during training is more effective than not. Results are presented from investigating novice vehicle drivers learning while using varying amounts of sensor support. Qualitative and quantitative data evaluations are made to compare drivers with sensors against those without while they learn to drive a vehicle. Reliance on the teaching processes used was recorded while various amounts of support were given by the intelligent systems. The work considers whether skilled drivers trained with sensors assisting them during training, could then work well without any assistance from sensors. Finally, some results are included. In all situations, assistance becomes more useful as environments became more complicated.

UR - https://www.springer.com/gb/book/9783030010539

UR - https://www.springer.com/gb/book/9783030010560

U2 - 10.1007/978-3-030-01054-6_81

DO - 10.1007/978-3-030-01054-6_81

M3 - Conference contribution

SN - 978-3-030-01053-9

T3 - Advances in Intelligent Systems and Computing

SP - 1171

EP - 1181

BT - Intelligent Systems and Applications

A2 - Arai, Kohei

A2 - Kapoor, Supriya

A2 - Bhatia, Rahul

PB - Springer

T2 - IntelliSys 2018

Y2 - 6 September 2018 through 7 September 2018

ER -

Sanders D , Tewkesbury G, Parchizadeh H, Robertson JJ, Omoarebun PO, Malik M. Learning to drive with and without intelligent computer systems and sensors to assist. In Arai K, Kapoor S, Bhatia R, editors, Intelligent Systems and Applications: Proceedings of the 2018 Intelligent Systems Conference (IntelliSys) Volume 1. Springer. 2019. p. 1171-1181. (Advances in Intelligent Systems and Computing). Epub 2018 Nov 9. doi: 10.1007/978-3-030-01054-6_81

Learning to drive with and without intelligent computer systems and sensors to assist

Abstract

Publication series

Conference

Access to Document

Fingerprint

Projects

Using artificial intelligence to share control of a powered-wheelchair between a wheelchair user and an intelligent sensor system

Cite this