Abstract
This paper proposes a performance test framework for vision based vehicle detection systems implemented on road-going vehicles. An extensive literature review outlines the evolution of test frameworks used by a number of recently published vehicle detection systems. The proposed test framework determines the effectiveness of a detection algorithm as a function of distance between the host and target vehicles. The framework assists the characterisation of an algorithms performance over the full range of distances in which a vehicle can be detected in an image. The test framework is designed for use in blind spot detection, forward collision warning and rear end collision warning applications.
| Original language | English (Ireland) |
|---|---|
| Title of host publication | A Comprehensive Test Framework to Determine the Spatial Performance of Camera-Based Vehicle Detection Algorithms |
| Number of pages | 6 |
| Publication status | Published - 1 Jan 2014 |
Authors (Note for portal: view the doc link for the full list of authors)
- Authors
- Dooley, D,McGinley, B,Kilmartin, L,Jones, E,Glavin, M,Hughes, C,