Age differences in the useful field of view during real-world driving

2005 ◽  
Author(s):  
Frank Schieber ◽  
Jess Gilland
Keyword(s):  
Age Differences ◽  
Real World ◽  
Field Of View ◽  
Useful Field Of View

Age Differences in the Useful Field of View during Real-World Driving

2005 ◽  
Vol 49 (2) ◽  
pp. 182-185 ◽  
Author(s):  
Frank Schieber ◽  
Jess Gilland
Keyword(s):  
Target Detection ◽  
Age Differences ◽  
Real World ◽  
Field Of View ◽  
Peripheral Target ◽  
Car Following ◽  
Useful Field Of View ◽  
Target Eccentricity ◽  
Age Related ◽  
Age Related Changes

Age differences in the useful field of view (UFOV) were assessed during real-world driving using a newly developed car-following protocol. Nineteen young (mean age = 23) and 19 older (mean age = 73) drivers were examined. Peripheral target detection performance declined significantly with age and target eccentricity. However, consistent with several recent studies, no age by target eccentricity interaction was observed. These findings contribute to the validation of the UFOV construct and provide a foundation for better understanding age-related changes in visual attention in the real-world driving domain.

scholarly journals A Novel Approach to Measuring the Useful Field of View in Simulated Real-World Environments Using Gaze Contingent Displays: The GC-UFOV.

2015 ◽  
Vol 15 (12) ◽  
pp. 878 ◽  
Author(s):  
Ryan Ringer ◽  
Zachary Throneburg ◽  
Tera Walton ◽  
Greg Erickson ◽  
Allison Coy ◽  
...  
Keyword(s):  
Real World ◽  
Field Of View ◽  
Useful Field Of View ◽  
Novel Approach

scholarly journals Developing a New Measure of the Useful Field of View for Use in Dynamic Real-World Scene Viewing

2012 ◽  
Vol 12 (9) ◽  
pp. 564-564
Author(s):  
L. Loschky ◽  
R. Ringer ◽  
A. Larson ◽  
G. Hughes ◽  
K. Dean ◽  
...  
Keyword(s):  
Real World ◽  
Field Of View ◽  
Useful Field Of View ◽  
Scene Viewing

Age Differences in the Useful Field of View in a Part-Task Driving Simulator

1993 ◽  
Vol 37 (14) ◽  
pp. 960-963 ◽  
Author(s):  
Jonathan Walker ◽  
Catherine Sedney ◽  
Kathryn Wochinger ◽  
Deborah A. Boehm-Davis ◽  
William A. Perez
Keyword(s):  
Age Differences ◽  
Driving Simulator ◽  
Response Times ◽  
Age Groups ◽  
Field Of View ◽  
Cognitive Tasks ◽  
Task Load ◽  
Useful Field Of View ◽  
Age Related ◽  
Motion Threshold

This study investigated age-related differences in the useful field of view (UFOV) using a part-task driving simulator. Thirty-six licensed drivers, aged 20-25, 40-45, and 65-70, participated. Dynamic roadway images were projected on screens to the front and sides of the driver. Target stimuli consisted of full-size simplified images of a van moving forward on the side screens at a speed below the motion threshold. Subjects performed forward view tracking and cognitive tasks while responding to the van stimuli on the side screens. Increased levels of the forward view task load adversely affected response times to the vans for the older group only, but performance of the tracking task declined for all age groups with increased load.

Age Differences in the Useful Field of View: An Eye Movement Analysis

1994 ◽  
Vol 71 (12) ◽  
pp. 736-742 ◽  
Author(s):  
CHARLES T. SCIALFA ◽  
DAVID M. THOMAS ◽  
KENNETH M. JOFFE
Keyword(s):  
Eye Movement ◽  
Age Differences ◽  
Movement Analysis ◽  
Field Of View ◽  
Useful Field Of View ◽  
Eye Movement Analysis

scholarly journals Extrinsic Camera Calibration with Line-Laser Projection

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1091
Author(s):  
Izaak Van Crombrugge ◽  
Rudi Penne ◽  
Steve Vanlanduit
Keyword(s):  
Camera Calibration ◽  
Real World ◽  
Large Scale ◽  
State Of The Art ◽  
Bundle Adjustment ◽  
Field Of View ◽  
Extrinsic Calibration ◽  
Practical Procedure ◽  
Partial Overlap

Knowledge of precise camera poses is vital for multi-camera setups. Camera intrinsics can be obtained for each camera separately in lab conditions. For fixed multi-camera setups, the extrinsic calibration can only be done in situ. Usually, some markers are used, like checkerboards, requiring some level of overlap between cameras. In this work, we propose a method for cases with little or no overlap. Laser lines are projected on a plane (e.g., floor or wall) using a laser line projector. The pose of the plane and cameras is then optimized using bundle adjustment to match the lines seen by the cameras. To find the extrinsic calibration, only a partial overlap between the laser lines and the field of view of the cameras is needed. Real-world experiments were conducted both with and without overlapping fields of view, resulting in rotation errors below 0.5°. We show that the accuracy is comparable to other state-of-the-art methods while offering a more practical procedure. The method can also be used in large-scale applications and can be fully automated.

scholarly journals Movement Around Real and Virtual Cluttered Environments

2005 ◽  
Vol 14 (5) ◽  
pp. 580-596 ◽  
Author(s):  
Simon Lessels ◽  
Roy A. Ruddle
Keyword(s):  
Real World ◽  
Search Task ◽  
Scale Space ◽  
Visual Scene ◽  
Field Of View ◽  
Small Scale ◽  
High Fidelity ◽  
Cluttered Environments ◽  
The Real ◽  
Desktop Virtual Environment

Two experiments investigated participants' ability to search for targets in a cluttered small-scale space. The first experiment was conducted in the real world with two field of view conditions (full vs. restricted), and participants found the task trivial to perform in both. The second experiment used the same search task but was conducted in a desktop virtual environment (VE), and investigated two movement interfaces and two visual scene conditions. Participants restricted to forward only movement performed the search task quicker and more efficiently (visiting fewer targets) than those who used an interface that allowed more flexible movement (forward, backward, left, right, and diagonal). Also, participants using a high fidelity visual scene performed the task significantly quicker and more efficiently than those who used a low fidelity scene. The performance differences among all the conditions decreased with practice, but the performance of the best VE group approached that of the real-world participants. These results indicate the importance of using high fidelity scenes in VEs, and suggest that the use of a simple control system is sufficient for maintaining one's spatial orientation during searching.

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