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公开(公告)号:US20210107440A1
公开(公告)日:2021-04-15
申请号:US16600555
申请日:2019-10-13
Inventor: Ming-Kai Gan , Bo-Chiuan Chen , Shih-Che Chien , Chien-Hao Hsiao , Yu-Sung Hsiao , Feng-Chia Chang
IPC: B60T8/171 , B60T8/1755 , B60T8/86 , B60T8/58
Abstract: A surface adaptation method suitable for a vehicle includes evaluating a plurality of longitudinal forces with respect to a plurality of sampling points, evaluating a plurality of wheel slips with respect to the plurality of sampling points, determining a maximum longitudinal force from the plurality of longitudinal forces, and determining a wheel slip threshold from the plurality of wheel slips. The wheel slip threshold corresponds to the maximum longitudinal force.
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公开(公告)号:US10884108B2
公开(公告)日:2021-01-05
申请号:US15823750
申请日:2017-11-28
Inventor: Chao-Wen Liang , Shih-Che Chien , Yu-Sung Hsiao
Abstract: A light detection and ranging system comprises an optical transmitter for beam scanning on a scan region, and receiving reflected light from the scan region; and an optical receiver for directing the reflected light for signal conversion. The optical transmitter includes a beam refractive unit including optical refractive devices, rotatably disposed about a rotation axis, for directing a collimated laser beam from a first optical path towards a direction depending on rotation angles of the optical refractive devices; and a motion unit for actuating relative motion of the optical refractive devices so as to perform beam scanning towards directions on the scan region. The optical receiver includes an off-axis reflective unit, disposed in the first optical path, for directing the reflected light towards a second optical path; and a light detection unit, disposed in the second optical path, for performing signal conversion on the reflected light.
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公开(公告)号:US10198657B2
公开(公告)日:2019-02-05
申请号:US15375438
申请日:2016-12-12
Inventor: Shih-Shinh Huang , Shih-Che Chien , Feng-Chia Chang , Chien-Hao Hsiao , Yu-Sung Hsiao
IPC: G06K9/00 , G06K9/46 , G06K9/62 , H04N5/33 , H04N19/90 , H04N19/103 , H04N19/136 , H04N19/176
Abstract: An all-weather thermal-image pedestrian detection method includes (a) capturing diurnal thermal images and nocturnal thermal images of a same pedestrian and non-pedestrian object in a same defined block to create a sample database of thermal images, wherein the sample database comprises pedestrian samples and non-pedestrian samples; (b) performing LBP encoding on the pedestrian samples and the non-pedestrian samples, wherein complementary LBP codes in the same defined block are treated as identical LBP codes; (c) expressing the LBP codes in the same defined block as features by a gradient direction histogram (HOG) to obtain feature training samples of the pedestrian samples and the non-pedestrian samples; (d) entering the feature training samples into a SVM to undergo training by Adaboost so as to form a strong classifier; and (e) effectuating pedestrian detection by searching the strong classifiers in thermal images with sliding window technique to detect for presence of pedestrians.
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