Improving the Mobility Performance of Autonomous Unmanned Ground Vehicles by Adding the Ability to ‘Sense/Feel‘ Their Local Environment

  • Siddharth Odedra
  • Stephen D. Prior
  • Mehmet Karamanoglu
Conference paper

DOI: 10.1007/978-3-540-73335-5_56

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4563)
Cite this paper as:
Odedra S., Prior S.D., Karamanoglu M. (2007) Improving the Mobility Performance of Autonomous Unmanned Ground Vehicles by Adding the Ability to ‘Sense/Feel‘ Their Local Environment. In: Shumaker R. (eds) Virtual Reality. ICVR 2007. Lecture Notes in Computer Science, vol 4563. Springer, Berlin, Heidelberg

Abstract

This paper explores how a ‘learning‘ algorithm can be added to UGV’s by giving it the ability to test the terrain through ‘feeling‘ using incorporated sensors, which would in turn increase its situational awareness. Once the conditions are measured the system will log the results and a database can be built up of terrain types and their properties (terrain classification), therefore when it comes to operating autonomously in an unknown, unpredictable environment, the vehicle will be able to cope by identifying the terrain and situation and then decide on the best and most efficient way to travel over it by making adjustments, which would greatly improve the vehicles ability to operate autonomously.

Keywords

Unmanned Autonomous Mobility Situational Awareness Way Finding Terrain Reconfigurable Intelligent Wheels 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Siddharth Odedra
    • 1
  • Stephen D. Prior
    • 1
  • Mehmet Karamanoglu
    • 1
  1. 1.Department of Product Design and Engineering, Middlesex University, London, N14 4YZUnited Kingdom

Personalised recommendations