SAE Technical Paper Series 2005
DOI: 10.4271/2005-01-1475
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New Algorithm for the Range Estimation by a Single Frame of a Single Camera

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Cited by 10 publications
(3 citation statements)
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“…Since the 256-graylevel image is used for the simulation, the specification of the camera meets the requirements of the simulation. Figure 10 shows that the maximum error is less than 1 m within the range of 50 m and less than 4 m within the range of 70 m. Compared with the previous method [8], the proposed method makes the same errors within the range of 50m but can reduce the maximum error within the range of 70m. Figure 11 shows various test images with the detected y car values.…”
Section: Algorithm Simulationmentioning
confidence: 49%
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“…Since the 256-graylevel image is used for the simulation, the specification of the camera meets the requirements of the simulation. Figure 10 shows that the maximum error is less than 1 m within the range of 50 m and less than 4 m within the range of 70 m. Compared with the previous method [8], the proposed method makes the same errors within the range of 50m but can reduce the maximum error within the range of 70m. Figure 11 shows various test images with the detected y car values.…”
Section: Algorithm Simulationmentioning
confidence: 49%
“…The systems based on vision processing with only one camera are recently developed [7][8][9][10] and such systems are called "monocular vision system." This paper presents an automobile advance warning algorithm that is carried out using a monocular vision system.…”
Section: Intorductionmentioning
confidence: 99%
“…Regarding the former, it must be analyzed whether there are obstacles that may become potential obstacles in the path of the vehicle. The three technologies that are commonly used for long-range vehicle surroundings detection are computer vision (e.g., [5,6]), radar (e.g., [7,8]) and laser scanner (e.g., [912]). Sensor fusion is used to enhance the possibilities of understanding and representing the environment as well as for mitigating the deficiencies of each sensor, and several algorithms have been proposed in the past (e.g., [13–18]).…”
Section: Introductionmentioning
confidence: 99%