Research on Brightness Perception Model Based on Night Vision Vehicle Head up Display

Xiaofeng, 赵晓枫 Zhao; Changqing, 刘长青 Liu; Wei, 蔡伟 Cai; Yinpeng, 魏银鹏 Wei

doi:10.3788/lop54.121501

Cited by 3 publications

(3 citation statements)

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“…Through the digital light processing (DLP) projection lens imaging, a miniature projection system and a reflective optical system are designed to form a sufficiently large field of view, rich and clear image on the windshield, and the simulation results are analyzed. Zhao taked special vehicle drivers as the test object, and established a head-up display brightness adjustment model for the night vision vehicle head-up display brightness display characteristics [24]. The adaptability of the driver group to the display brightness of the night vision vehicle head-up display in the dark environment at night was discussed, and the night vision vehicle head-up display driver dimming experiment was carried out.…”

Section: Introductionmentioning

confidence: 99%

Notice of Violation of IEEE Publication Principles: Design and Performance of an Off-Axis Free-Form Mirror for a Rear Mounted Augmented-Reality Head-Up Display System

Meng

et al. 2021

IEEE Photonics J.

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A novel optical-transmission rear mounted augmented reality head-up display, which can be used to improve the safety of a driving vehicle, is introduced and investigated in this paper. The proposed system uses an off-axis free-form mirror that serves as asymmetric aberration corrector. The off-axis aberration of the system is analyzed and the mirror is designed to correct both linear astigmatism and spherical aberration. This makes it possible to optimize the whole optical system. We also analyze the relationship between human eyes and the virtual image to obtain a registration matrix. The experimental results show that the size of the virtual image is 11 inches, the imaging distance is 2.8 meters, and the area of the eye box is 140 * 60 mm 2. The novel system makes it possible to fuse the virtual image with the real-life scene to improve driver safety.

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Section: Introductionmentioning

confidence: 99%

Notice of Violation of IEEE Publication Principles: Design and Performance of an Off-Axis Free-Form Mirror for a Rear Mounted Augmented-Reality Head-Up Display System

Meng

et al. 2021

IEEE Photonics J.

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show abstract

“…The last and the important factor is the luminance or the contrast of the information displayed. Having a low luminance or very higher contrast is going to be a disturbance and not provide a pleasant experience (Xiaofeng & Yeinping, 2017).…”

Section: Transparencymentioning

confidence: 99%

Implementation of flexible and customizable free-from mirror heads-up display

et al. 2023

The Scientific Temper

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To implement a supreme interactive medium using the Free from mirror Technologies to improve the user experience and try to create a customizable Heads-up Display, in the cockpit, so that the user can well optimize the digital indicators and Navigation to a certain control and constraints. Providing a free from mirror arrangement can help the driver during driving without any disturbance in viewing and also doesn’t require a separate reflector arrangement for projection to be projected. Due to this the setup can be cost effective. For the customization part of the HUD, we can directly use the touch screen infotainment system or the even the digital instrument cluster to customize the HUD layout. Therefore, the factors to consider during the HUD setup and an idea to provide a customization to the HUD by the infotainment system is discussed in this paper.

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“…Manual testing is mainly through the inspector to observe the HUD projection image and subjective judgment of the HUD display image, and the disadvantage is that it can not quantify the data and can not achieve repeatable and accurate measurements. Zhao Xiaofeng et al [5]A study on the luminance perception characteristics of nighttime head-up display (HUD) information was conducted. A brightness-adjustable HUD system was used in this experiment, and the brightness adjustment curve and driver brightness perception model were established with 100 drivers.…”

Section: Introductionmentioning

confidence: 99%

Flexible Calibration Method and Application of Passenger Car HUD Detection Based on Collaborative Robot

Zhigang,

Lv,

Kong

et al. 2024

IEEE Access

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At present, the HUD calibration of the whole vehicle enterprise adopts the traditional physical calibration frame to calibrate the camera, and the scheme has low flexibility and large space occupation and is unsuitable for the mixed production of different types of vehicles. A flexible calibration approach is presented based on collaborative robots for HUD inspection of passenger cars. They are considering that the virtual image distance of the general HUD (Head-Up Display) is 2-3m. A 2.3-meter hand-eye calibration method is studied. A monocular camera is installed on the cooperative robot. Considering the influence of ambient light on long-distance hand-eye calibration, a customized alumina calibration plate is used and illuminated at an appropriate angle. Camera calibration is performed using an area_scan_polynomial model, and the camera's internal parameters are solved. The average error of camera internal parameters is about 0.15, which shows high calibration accuracy. The hand-eye calibration results show that the Translation part's maximum error is about 1mm, the maximum error of the Rotational position is about 0.1 degree, and the camera calibration error is within 0.08 pixels. For repeatability, the median of Translation RMS was 0.5 with an interquartile range of 0.171, and the median of Translation Maximum was 0.972 with an interquartile range of 0.216. The median of Rotation RMS was 0.0325 with an interquartile range of 0.0125. The median of the Rotation Maximum was 0.059, with an interquartile range of 0.016. The data of Translation is relatively scattered, with an extensive range of change, but still maintains a certain repeatability. The Rotation data is relatively stable, with a small degree of change and good repeatability, further meeting the use requirements in the final inspection HUD scene of the whole vehicle.INDEX TERMS eye-in-hand, hand-eye calibration, HUD, camera calibration, cooperative robot, repeatability .

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Research on Brightness Perception Model Based on Night Vision Vehicle Head up Display

Cited by 3 publications

References 0 publications

Notice of Violation of IEEE Publication Principles: Design and Performance of an Off-Axis Free-Form Mirror for a Rear Mounted Augmented-Reality Head-Up Display System

Notice of Violation of IEEE Publication Principles: Design and Performance of an Off-Axis Free-Form Mirror for a Rear Mounted Augmented-Reality Head-Up Display System

Implementation of flexible and customizable free-from mirror heads-up display

Flexible Calibration Method and Application of Passenger Car HUD Detection Based on Collaborative Robot

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