2013
DOI: 10.1117/12.2008518
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Detection of vehicle occupants in HOV lanes: exploration of image sensing for detection of vehicle occupants

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Cited by 3 publications
(3 citation statements)
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“…. Then the process of subcloud synthesis of the parent cloud is represented by "∘" [15], namely, = 1 ∘ 2 ∘ ⋅ ⋅ ⋅ . If each subcloud has a certain weight, a formula for the expected value, entropy, and hyperentropy of the parent cloud is…”
Section: Methods For Determining Bus Crowding Coefficientmentioning
confidence: 99%
See 1 more Smart Citation
“…. Then the process of subcloud synthesis of the parent cloud is represented by "∘" [15], namely, = 1 ∘ 2 ∘ ⋅ ⋅ ⋅ . If each subcloud has a certain weight, a formula for the expected value, entropy, and hyperentropy of the parent cloud is…”
Section: Methods For Determining Bus Crowding Coefficientmentioning
confidence: 99%
“…Finally, they applied this method to queued passenger counts. In 2013, Daley et al [15] used the infrared light of the appropriate wavelength to detect the passenger situation in the seating area and the passage area of the vehicle and realized the counting function of the passengers in the bus according to the geometric distribution of the vehicle and the passenger. Mudoi et al [16] used the background difference method to extract the target region in the video image, and combined with the neural network algorithm.…”
Section: Introductionmentioning
confidence: 99%
“…New changes in the automotive glass to reduce the solar heat load on the vehicles are new challenges for noninvasive vision, NIR, and thermal systems. To reduce the generation of greenhouse gasses and energy usage on cooling, the total solar transmittance allowance for new vehicles must be lower than 40% by 2014 [144,145]. New types of automotive glass are being constantly developed and manufactured.…”
Section: Limitations and Research Challengesmentioning
confidence: 99%