• Login
• Admin

Strachan, Jamie Robert (2009) NOVA: Nottingham Off-road Vehicle Architecture. PhD thesis, University of Nottingham.

Preview

PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader Download (16MB) | Preview

Abstract

This thesis describes a program of research aimed at the creation of an unmanned ground vehicle. In this research the Nottingham Off-road Vehicle Architecture (NOVA) was developed along with the ARP (Autonomous Route Proving vehicle. NOVA is a control architecture for a vehicle with the role of autonomous route proving in natural terrain. The ARP vehicle was constructed to demonstrate this architecture.

NOVA includes all the required competence for the ARP vehicle to be deployed in unknown outdoor environments. The architecture embodies systems for vehicle localisation, autonomous navigation and obstacle avoidance.

The localisation system fuses data from absolute and relative localisation equipment. GPS provides the absolute position of the ARP vehicle. Relative position information is derived from wheel encoders and a pose sensor. NOVA uses a probabilistic technique known as a particle filter to combine the two position estimates.

NOVA maintains a local obstacle map based on range data generated by the perception sensors on the ARP vehicle. Analysis is performed on this map to find any untraversable terrain. A local path planner then selects the best path for the vehicle to follow using the map. Decisions made by the path planner are recorded to allow the vehicle to backtrack and try another path if NOVA later finds the chosen route is blocked.

NOVA has been extensively tested onboard the ARP vehicle. Results from a series of experiments are presented to validate the various parts of the architecture.

Item Type:	Thesis (University of Nottingham only) (PhD)
Supervisors:	Webb, P.F.
Keywords:	Unmanned ground vehicles, localisation, obstacle mapping, local path planning
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ212 Control engineering systems. Automatic machinery
Faculties/Schools:	UK Campuses > Faculty of Engineering > Department of Mechanical, Materials and Manufacturing Engineering
Item ID:	10842
Depositing User:	EP, Services
Date Deposited:	14 May 2010 08:49
Last Modified:	15 Oct 2017 07:52
URI:	https://eprints.nottingham.ac.uk/id/eprint/10842

Actions (Archive Staff Only)

Edit View