Skip to content

Drivers’ Manoeuvre Classification for Safe HRI

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationTowards Autonomous Robotic Systems
Subtitle of host publication18th Annual Conference, TAROS 2017, Guildford, UK, July 19–21, 2017, Proceedings
Publisher or commissioning bodySpringer London
Pages475-483
Number of pages9
ISBN (Electronic)9783319641072
ISBN (Print)9783319641065
DOIs
DateAccepted/In press - 25 Mar 2017
DatePublished (current) - 20 Jul 2017
Event18th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2017 - Guildford, United Kingdom
Duration: 19 Jul 201721 Jul 2017

Publication series

NameLecture Notes in Computer Science (Lecture notes in Artificial Intelligence)
PublisherSpringer
Volume10454
ISSN (Print)0302-9743

Conference

Conference18th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2017
CountryUnited Kingdom
CityGuildford
Period19/07/1721/07/17

Abstract

Ever increasing autonomy of machines and the need to interact with them creates challenges to ensure safe operation. Recent technical and commercial interest in increasing autonomy of vehicles has led to the integration of more sensors and actuators inside the vehicle, making them more like robots. For interaction with semi-autonomous cars, the use of these sensors could help to create new safety mechanisms. This work explores the concept of using motion tracking (i.e. skeletal tracking) data gathered from the driver whilst driving to learn to classify the manoeuvre being performed. A kernel-based classifier is trained with empirically selected features based on data gathered from a Kinect V2 sensor in a controlled environment. This method shows that skeletal tracking data can be used in a driving scenario to classify manoeuvres and sets a background for further work.

Additional information

Best poster prize sponsored by UK-RAS Network

    Research areas

  • Classification, Driver actions, HRI, Machine learning, Semi-autonomous, vehicles, Vehicles

    Structured keywords

  • Brain and Behaviour
  • Cognitive Science
  • Visual Perception

Event

18th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2017

Duration19 Jul 201721 Jul 2017
CityGuildford
CountryUnited Kingdom

Event: Conference

Download statistics

No data available

Documents

Documents

  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Springer at https://link.springer.com/chapter/10.1007%2F978-3-319-64107-2_37. Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 4 MB, PDF document

DOI

View research connections

Related faculties, schools or groups