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Comparison model for obstacle avoidance behaviors of vehicle under manned and unmanned conditions

An unmanned vehicle and unmanned driving technology, which is applied in the field of comparison model of obstacle avoidance behavior of manned and unmanned vehicles, can solve the problem of insufficient research on the intelligent behavior of unmanned vehicles

Inactive Publication Date: 2012-02-15
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Application Information

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Problems solved by technology

[0004] At present, there are many studies on unmanned vehicles at home and abroad, but as long as the internal control technology of unmanned vehicles is focused on, there is not enough research on the intelligent behavior of unmanned vehicles, and the combination of manned driving behavior and unmanned driving behavior also rarely

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  • Comparison model for obstacle avoidance behaviors of vehicle under manned and unmanned conditions
  • Comparison model for obstacle avoidance behaviors of vehicle under manned and unmanned conditions
  • Comparison model for obstacle avoidance behaviors of vehicle under manned and unmanned conditions

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Embodiment Construction

[0022] Such as figure 1 As shown, the driver relies on the eyes, ears, hands and other receptors to receive information, and these senses constitute a sensory subsystem (receptors). The information received by the receptors is transmitted to the brain through the nerves. In the information processing subsystem (central processor) of the brain, the incoming information is recognized and corresponding decisions are made. These functions require the participation of long-term memory and short-term memory in the storage subsystem (memory). The processed information can also be stored in long-term or short-term memory, and various movement and language responses can be generated through the hands and feet, control devices, language organs, etc. in the response subsystem (effector); Visual, auditory, tactile and other sensors receive information, and these sensors transmit the obtained information to the ECU processor through the bus and protocol. In the ECU processor, the incomi...

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Abstract

The invention belongs to the technical fields of transportation and intelligent vehicle research, and relates to an information processing theory of cognitive science. The information processing procedure of manned and unmanned behaviors is researched, the common obstacles are subjected to systematic classification, obstacle avoidance behaviors of a vehicle under manned and unmanned conditions are compared and two parameters, namely a vehicle speed and an offset distance are analyzed for the road condition that a front vehicle which is parallel to the vehicle and runs in the same direction suddenly stops through experiments, the intelligent behavior of the unmanned vehicle at present is reflected, the vehicle can run in a lane at a constant speed, senses a front object, correctly identifies an environment, safely avoids the obstacles and the like, the change law of the vehicle speed and the offset distance in the process of avoiding the obstacles is researched and determined, and a solid foundation is laid for an unmanned vehicle control system. A game scoring system and an environment design of the unmanned vehicle in various complex traffic environments can be established.

Description

technical field [0001] The invention belongs to the technical field of transportation and intelligent vehicle research, relates to the information processing theory of cognitive science, compares the obstacle avoidance behavior of vehicles in two situations of manned driving and unmanned driving through experiments, and lays a solid foundation for the control system of unmanned vehicles. The foundation provides a strong basis for the establishment of unmanned vehicle competition scoring standards and environmental design systems, and fully reflects the important supporting role of technological innovation in improving transportation efficiency. Background technique [0002] The ability of computers to process image, voice and text (language) information is far inferior to that of humans, and the processing efficiency is far from meeting the development needs of today's society. Therefore, new computing methods are constructed to improve the ability of computers to understand ...

Claims

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Application Information

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IPC IPC(8): B60W50/08
Inventor 陈雪梅高薪董纲
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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