&lt;title&gt;Development of a night-driving simulator concept for night vision image-intensification device training&lt;/title&gt;

Ruffner, John W.; Piccione, Dino; Woodward, Kim G.

doi:10.1117/12.277233

Cited by 9 publications

(7 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this research we concerned ourselves with parameters such as gain, signal to noise ration, shot noise, pre-amplifier noise, blooming, and MTF. All the technique details can be found in the references [10][11][12]. …”

Section: Synthetic Simulation and Modeling Of Image Intensified Ccds(mentioning

confidence: 99%

Modeling and Simulation of Digital Scene Image Synthesis Using Image Intensified CCD Under Different Weathers in Scene Matching Simulation System

Xiao

Hui-zhong

Tang

et al. 2005

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. The synthesis of digital real-time image in scene matching has great significant and application in military. We first propose a practical scene matching simulation system. Then most factors effecting on real time image synthesis including the change of missile's poses, hypsography, meteorology and the characteristics of image intensified CDD is investigated. The key mathematical models including eradiate aberrance and camera's aberrance of digital scene image synthesis are discussed. An overall designing framework for simulation system is proposed. Furthermore, a powerful simulated real time image synthesis system named by SMRT-SS oriented to Image Intensified CCD camera is developed. Finally some simulation results are given.

show abstract

Section: Synthetic Simulation and Modeling Of Image Intensified Ccds(mentioning

confidence: 99%

Modeling and Simulation of Digital Scene Image Synthesis Using Image Intensified CCD Under Different Weathers in Scene Matching Simulation System

Xiao

Hui-zhong

Tang

et al. 2005

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…The failure to detect negative terrain obstacles, such as ditches and drop-offs, has been documented to account for 57% of the accidents involving night vision devices when the driver used 2D displays [1]. In these situations, obstacle detection via a device employing fast stereo algorithms and stereoscopic night vision cameras could be very useful.…”

Section: Introductionmentioning

confidence: 99%

Hyperstereo algorithms for the perception of terrain drop-offs

et al. 2007

View full text Add to dashboard Cite

The timely detection of terrain drop-offs is critical for safe and efficient off-road mobility, whether with human drivers or with terrain navigation systems that use autonomous machine-vision. In this paper, we propose a joint tracking and detection machine-vision approach for accurate and efficient terrain drop-off detection and localization. We formulate the problem using a hyperstereo camera system and build an elevation map using the range map obtained from a stereo algorithm. A terrain drop-off is then detected with the use of optimal drop-off detection filters applied to the range map. For more robust results, a method based on multi-frame fusion of terrain drop-off evidence is proposed. Also presented is a fast, direct method that does not employ stereo disparity mapping. We compared our algorithm's detection of terrain drop-offs with time-code data from human observers viewing the same video clips in stereoscopic 3D. The algorithm detected terrain drop-offs an average of 9 seconds sooner, or 12m farther, than the human observers. This suggests that passive image-based hyperstereo machine-vision may be useful as an early warning system for off-road mobility.

show abstract

“…We propose that the inherent lack of binocular parallax cues in 2D displays underlies many of the incidents involving terrain misinterpretation. Ruffner, Piccione, and Woodward (1997) completed an analysis of ten years of military night-time driving accidents when drivers used night vision devices. They found that the drivers' failure to detect negative terrain obstacles, such as drop-offs 1 and ditches, accounted for 57% of the accidents involving night vision devices.…”

Section: Introductionmentioning

confidence: 99%

Perception of terrain drop-offs as a function of L-R viewpoint separation in stereoscopic video

et al. 2005

View full text Add to dashboard Cite

Military missions often require drivers to maneuver across hazardous, off-road terrain using visual displays rather than direct vision. When soldiers use 2D displays, significantly more mobility errors occur than when soldiers use 3D displays that provide a stereoscopic view of the terrain. The purposes of the present experiment were to quantify the visual forewarning of a drop-off provided by a stereoscopic 3D display compared to a 2D display, and to measure the potential of increased camera separation (i.e., hyperstereo) for enhancing the benefit of 3D for the detection of terrain drop-offs. This experiment consisted of four viewing conditions: 0X (the 2D condition), 1X (stereo with the normal interpupillary distance [IPD] between the viewpoints provided to the two eyes), 2X (stereo with twice the normal IPD), and 3X (stereo with three times the normal IPD). Thirty-two participants viewed 80 video clips, each clip depicting an approach to a terrain drop-off as would be seen in a daytime driving situation. As soon as the drop-off became apparent, he or she pressed a brake pedal. As expected, the average detection time for drop-offs viewed with 1X (stereo display) was significantly better than when drop-offs were viewed with the 0X (2D) display. The failure to observe further improvements in task performance with 2X and 3X IPD suggests follow-on research to determine whether these unexpected hyperstereo results may be attributable to adverse side effects of hyperstereo: increased mismatch between accommodation and convergence, the minification effect, and increased stereoscopic "frame violation."

show abstract

<title>Development of a night-driving simulator concept for night vision image-intensification device training</title>

Cited by 9 publications

References 1 publication

Modeling and Simulation of Digital Scene Image Synthesis Using Image Intensified CCD Under Different Weathers in Scene Matching Simulation System

Modeling and Simulation of Digital Scene Image Synthesis Using Image Intensified CCD Under Different Weathers in Scene Matching Simulation System

Hyperstereo algorithms for the perception of terrain drop-offs

Perception of terrain drop-offs as a function of L-R viewpoint separation in stereoscopic video

Contact Info

Product

Resources

About