A kind of assisted driving method, device, vehicle terminal and vehicle
A technology for assisting driving and vehicles, applied in the fields of devices, in-vehicle terminals, vehicles, and methods of assisting driving, can solve problems such as driver fatigue, safety accidents, and pedestrians being unable to observe in time, and achieve the effect of reducing traffic accidents and improving safety.
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Embodiment 1
[0076] The following will combine figure 1 The driving assistance method shown in the exemplary embodiment of the present invention is introduced in detail.
[0077] see figure 1 , which is a flowchart of a driving assistance method provided by an embodiment of the present invention.
[0078] The assisted driving method provided in this embodiment specifically includes the following steps:
[0079] S101: Acquire an image sequence of the surrounding environment of the vehicle.
[0080] The image sequence can be obtained by taking a video of the vehicle's surroundings. When shooting, you can set the shooting range in advance. Generally, you can set the predetermined width and distance in front of the vehicle. For example, you can shoot a video image within 5 meters in front of the vehicle and within 20 meters in front. The shooting range can be set to different range sizes for different types of vehicles to adapt to different vehicle structures, so as to obtain ideal video i...
Embodiment 2
[0108] see figure 2 , which is a flow chart of another driving assistance method provided by an embodiment of the present invention.
[0109] The assisted driving method provided in this embodiment includes the following steps:
[0110] S201 in this embodiment is the same as S101 in Embodiment 1, and will not be repeated here.
[0111] S202: Determine pedestrian positions from the image sequence.
[0112] S203: Determine behavior attributes from the image sequence, S203 may specifically include the following S203a-S203c;
[0113] S203a: Obtain the size of the pixels occupied by pedestrians from the image sequence.
[0114] Adults are generally taller than minors. Therefore, when the pedestrian positions of adults and minors are the same, the size of pixels occupied by adults in the image sequence is larger than the size of pixels occupied by minors in the image sequence. For example, both adults and minors are 10 meters away from the vehicle, and the pixels occupied by a...
Embodiment 3
[0184] see Figure 4 ,该图为本发明实施例提供的一种辅助驾驶装置结构图。
[0185] 本实施例提供的辅助驾驶装置包括:
[0186] 图像序列获取单元401、行人位置确定单元402、行人属性确定单元403、行人运动趋势预测单元404、行人行为预测单元405、预测单元406和警告单元407。
[0187] 图像序列获取单元401,用于获取车辆周围环境的图像序列。
[0188] 行人位置确定单元402,用于确定所述图像序列中行人位置。
[0189] 行人属性确定单元403,用于确定所述图像序列中行人属性;所述行人属性用于表征行人类别。
[0190] 行人运动趋势预测单元404,用于预测所述图像序列中行人运动趋势。
[0191] 行人行为预测单元405,用于预测所述图像序列中行人行为。
[0192] 预测单元406,用于由所述行人运动趋势和所述行人行为预测行人意图;
[0193] 警告单元407,用于基于所述行人位置、行人属性和行人意图采取对应的警告策略。
[0194] 需要说明的是,本实施例各个单元或模块具体的配置和实现可以参见 figure 1 with figure 2 所述方法实施例,在此不再赘述。
[0195] 通过本发明实施例提供的辅助驾驶装置,可以自动获取车辆周围环境的图像序列,根据图像序列获取行人位置、行人属性、行人运动趋势及行人行为,并根据行人运动趋势和行人行为预测行人意图,最后根据行人位置、行人属性和行人意图自动采取对应的警告策略,为驾驶员安全驾驶提供有利辅助,提高车辆行驶的安全性,减少交通事故的发生。
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