title: Factors contributing to guidance performance when using a camera-based guidance aid.
abstract: A guidance aid is a device that provides guidance information to the driver rather than replacing the driver. With a camera-based guidance aid, the view seen by a forward-looking video camera is displayed on a monitor situated within the operator station of the vehicle. As the vehicle moves forward, images of the ground scroll vertically across the monitor. The rate at which the image scrolls, the image velocity, is related to the forward velocity of the vehicle, the placement of the camera (height and tilt angle), and the optical characteristics of the guidance camera. When tested with a tractor at forward velocities between 1.6 and 12.8 km/h, lateral error increased linearly as image velocity increased. Driver self-confidence decreased linearly as image velocity increased. Based on subjective feedback, drivers preferred a camera tilt angle of 20 degrees (over either 30 degrees or 40 degrees) because it yielded the greatest look-ahead distance. Statistically, a tilt angle of 30 degrees was best for a camera with a narrow field of view (narrow FOV, 20 degrees in the lateral direction). For a camera with a wide field of view (wide FOV, 39 degrees in the lateral direction), there was no statistical difference. For the narrow FOV camera, a camera height of 1.1 m yielded statistically smaller lateral errors than a camera height of 1.5 m. There was no statistical difference for the wide FOV camera. Overall, the lateral error was statistically smaller for the narrow FOV camera than for the wide FOV camera due to the difference in the lateral ratio for each camera, where the lateral ratio is the ratio of the lateral field of view of the camera to the fixed monitor width.
authors.affiliation: Department of Biosystems Engineering, 511A Engineering Building, University of Manitoba, Winnipeg, MB R3T 5V6, Canada.
authors.forename: P
authors.initials: P
authors.lastname: Tang
authors.forename: D D
authors.initials: DD
authors.lastname: Mann
mesh_terms: D000062:Accidents, Occupational / Q000517:prevention & control*; D000063:Accidents, Traffic / Q000517:prevention & control*; D000383:Agriculture; D004869:Equipment Safety / Q000295:instrumentation* / Q000379:methods*; D006801:Humans; D012307:Risk Factors; D012449:Safety; D014741:Video Recording