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

Abstract

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.

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

“…Free from mirror HUD are proven to be far more effective, efficient and better in terms of characteristics when compared with the other. Placing them in the dashboard eventually increases the user experience and provides freedom to customize them on the requirement (An et al, 2021). Significant merit to be considered in this type of HUD is the freedom it provides on placing the projector eventually increases the option to adjust them on driver requirement and also alter the area it will project in the windshield.…”

Optimization Design of Parking Models Based on Complex and Random Parking Environments

“…In a domestic context, researchers have explored various methods of parking in selfdriving vehicles [16][17][18]. Some studies have focused on kinematics and reversing parking models using concepts such as the minimum circular arc optimization formula [19][20][21] and the trajectory optimization algorithm A* [21][22][23][24]. These methods are designed to optimize the turning, trajectory, and obstacle avoidance capabilities of autonomous vehicles during parking manipulation.…”