38‐2: Single‐shot Scan‐less Method for Virual Image Distance Measurement for Near Eye Display Systems

2019 ◽  
Vol 50 (1) ◽  
pp. 527-530
Author(s):  
Kaikai Guo
Keyword(s):  
Distance Measurement ◽  
Single Shot ◽  
Image Distance ◽  
Display Systems

Design of a virtual image distance measurement system for augmented reality/virtual reality display

2021 ◽  
Author(s):  
Qi Zuo ◽  
Dewen Cheng ◽  
Cheng Yao ◽  
Haoran Li ◽  
Hailong Chen ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Augmented Reality ◽  
Measurement System ◽  
Distance Measurement ◽  
Virtual Image ◽  
Image Distance

Single-Image Distance Measurement by a Smart Mobile Device

2017 ◽  
Vol 47 (12) ◽  
pp. 4451-4462 ◽  
Author(s):  
Shangwen Chen ◽  
Xianyong Fang ◽  
Jianbing Shen ◽  
Linbo Wang ◽  
Ling Shao
Keyword(s):  
Mobile Device ◽  
Distance Measurement ◽  
Single Image ◽  
Image Distance ◽  
Smart Mobile

scholarly journals MPP: A Novel Algorithm for Estimating Vehicle Space Headways from a Single Image

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Zhi Yu ◽  
Qianyin Jiang ◽  
Xiying Li
Keyword(s):  
Estimation Error ◽  
Distance Measurement ◽  
Intelligence Analysis ◽  
Measurement Point ◽  
Traffic Surveillance ◽  
Estimation Errors ◽  
Additional Equipment ◽  
Image Distance ◽  
The Relationship ◽  
Novel Algorithm

Vehicle space headway, also called spacing, is an important and basic traffic parameter. Traditional space headway calculation methods are facing the problems of large errors and high costs. This paper presents a novel algorithm based on measurement point pairs (MPPs) to estimate the real-time microcosmic vehicle space headway from single images in existing traffic surveillance videos and images without any additional equipment. First, the camera is calibrated with road markings to obtain the relationship between the image coordinates and the world coordinates. Second, vehicle pairs of two successive vehicles in the image are established, measurement points on each vehicle are selected by video intelligence analysis technologies, and their world coordinates are calculated by camera calibration results. Finally, the measurement points of the preceding and following vehicles are matched to obtain the MPPs, followed by the calculation of the weighted space headway. By using the measurement point information, one of the most difficult problems in image distance measurement, the lack of height information, is solved. The main factors causing estimation errors are fully addressed and the range and trend of errors under certain conditions are given by virtual simulation. Two real-world experiments are used to prove the accuracy and usability of the MPP in common video scenes: the simulation experiment indicates that the MPP algorithm achieves a high accuracy with estimation error less than ±0.1 m and the relative error within 1.1%; the application experiment shows that the MPP-based calculation is more accurate and stable than the state-of-the-art distance measurement algorithm and that the convenience of the proposed MPP algorithm is higher than that of traditional methods of space headway estimation.

Acoustic Distance Measurement Method Using 2ch Microphones Measurable from 0m Based on Phase Interference and Removal of DC Component

2015 ◽  
Vol 135 (11) ◽  
pp. 1349-1350
Author(s):  
Kazuhiro Suzuki ◽  
Noboru Nakasako ◽  
Masato Nakayama ◽  
Toshihiro Shinohara ◽  
Tetsuji Uebo
Keyword(s):  
Measurement Method ◽  
Distance Measurement ◽  
Phase Interference ◽  
Dc Component
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