Road surface condition sensing response system and method based on automatic driving
A technology for automatic driving and road conditions, applied in the field of automatic driving, can solve the problems that visual sensors cannot accurately capture abnormal road information, road condition recognition errors, camera line of sight blocking, etc., achieve low cost, improve robustness, and improve reliability Effect
Pending Publication Date: 2022-04-08
AUTOMOBILE RES INST OF TSINGHUA UNIV IN SUZHOU XIANGCHENG
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[0002] At present, the road conditions are mainly detected by the front-view wide-angle camera sensor installed on the self-driving vehicle through the method of deep learning, but this method will cause errors in the recognition of road conditions due to the limitations of the camera itself or the problem of the deep learning algorithm, for example, the light at night Too dark or rainy days, foggy days, dusty days, heavy snow days, etc. will block the camera's line of sight, and the visual sensor cannot accurately capture abnormal information on the road surface, resulting in loss of control of the vehicle or other dangerous situations
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[0036] In order to enable those skilled in the art to better understand the solution of the present invention, and understand the purpose, technical solution and advantages of the present invention more clearly, the technical solutions in the embodiments of the present invention will be clearly described below in conjunction with specific embodiments and with reference to the accompanying drawings. Describe it completely. It should be noted that implementations not shown or described in the accompanying drawings are forms known to those of ordinary skill in the art. Additionally, while illustrations of parameters including particular values may be provided herein, it should be understood that the parameters need not be exactly equal to the corresponding values, but rather may approximate the corresponding values within acceptable error margins or design constraints. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of ...
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The invention discloses a pavement condition sensing response system and method based on automatic driving. The pavement condition sensing response system comprises an electromagnetic suspension system, an ABS system and an automatic driving decision and control system, and the automatic driving decision and control system is in communication connection with the electromagnetic suspension system and the ABS system; the electromagnetic suspension system can obtain vehicle tire lifting change data to obtain corresponding road surface unevenness degree information, the ABS system can obtain a corresponding slip rate according to the collected wheel angular velocity, and then the road surface adhesion coefficient is obtained through calculation. And the automatic driving decision-making and control system judges whether the vehicle needs to decelerate according to the road surface unevenness degree information and the road surface adhesion coefficient. According to the road condition sensing response system and method provided by the invention, the robustness of a system mechanism is improved by utilizing a multi-triggering response mechanism, the safe and controllable driving of an automatic driving vehicle under an abnormal road condition is ensured, and the driving safety is greatly improved.
Description
technical field [0001] The invention relates to the technical field of automatic driving, in particular to a system and method for sensing and responding to road conditions based on automatic driving. Background technique [0002] At present, the road conditions are mainly detected by the front-view wide-angle camera sensor installed on the self-driving vehicle through the method of deep learning, but this method will cause errors in the recognition of road conditions due to the limitations of the camera itself or the problem of the deep learning algorithm, for example, the light at night Too dark or rainy days, heavy fog, sandy days, heavy snow days, etc. will block the view of the camera, and the visual sensor cannot accurately capture abnormal information on the road surface, resulting in loss of control of the vehicle or other dangerous situations. Contents of the invention [0003] In order to overcome the deficiencies in the prior art, the present invention provides ...
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IPC IPC(8): B60W40/064B60W60/00
Inventor 董浩牟康伟吴昊天韩东鑫张涵
Owner AUTOMOBILE RES INST OF TSINGHUA UNIV IN SUZHOU XIANGCHENG