Evaluation of Six Night Vision Enhancement Systems: Qualitative and Quantitative Support for Intelligent Image Processing

Different infrared sensor, image processing, and display technologies can be integrated into a night vision enhancement system (NVES). Because each of these components has its specific strengths and weaknesses, careful testing is needed to determine their best combination for aiding nighttime driving. This study evaluates which system properties of NVESs benefit drivers without increasing their workload. Six prototypical systems were assessed in two steps. First, a heuristic evaluation with experts from ergonomics, perception, and traffic psychology was conducted. This evaluation produced a broad overview of possible effects of system properties on driving. Based on these results, an experimental field study with 15 experienced drivers was performed. Criteria used to evaluate the development potential of the six prototypes were the usability dimensions of effectiveness, efficiency, and user satisfaction (International Organization for Standardization, 1998). Results showed that the intelligibility of information, the ease with which obstacles could be located in the environment, and the position of the display presenting the output of the system were of crucial importance for the usability of the NVES and its acceptance. NVESs that are positioned at an unobtrusive location and that are equipped with functions for the automatic identification of objects and for event-based warnings best fulfill all of the relevant requirements.

  • Availability:
  • Authors:
    • Mahlke, Sascha
    • Rosler, Diana
    • Seifert, Katharina
    • Krems, Josef F
    • Thuring, Manfred
  • Publication Date: 2007-6

Language

  • English

Media Info

  • Media Type: Print
  • Features: Figures; References; Tables;
  • Pagination: pp 518-531
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 01053673
  • Record Type: Publication
  • Files: TRIS, ATRI
  • Created Date: Jul 8 2007 9:29PM