Unmanned vehicle reaction agility evaluation method and device
An unmanned vehicle, agile technology, applied in the field of unmanned vehicle response agility evaluation, to achieve the effect of reliable driving
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Embodiment 1
[0075] refer to figure 2 , showing a basic flow chart of an unmanned vehicle response agility evaluation method of the present invention, as figure 2 As shown, the method specifically includes the following steps:
[0076] Step 201. Evaluate the complexity of the traffic environment in which the unmanned vehicle is located, and obtain the environment complexity index M1;
[0077] Specifically, the test environment for the agility of unmanned vehicles can be set through a virtual scene simulation system, which mainly provides virtual traffic scenes for unmanned vehicles and provides conditions for testing and evaluating the agility of unmanned vehicles to emergencies . A main vehicle is set in the virtual traffic scene. The main vehicle is the mapping of the tested unmanned vehicle in the virtual traffic scene. The main vehicle obtains the speed, acceleration, steering wheel angle and other parameters of the tested unmanned vehicle in real time to realize autonomous driving...
Embodiment 2
[0116] refer to Figure 7 , shows a structural block diagram of an unmanned vehicle response agility evaluation device of the present invention, the device includes: an environmental complexity evaluation module 71, a driving behavior evaluation module 72, a real-time index determination module 73, and a response agility score determination module 74 and responsiveness level grade determination module 75; wherein,
[0117] The environmental complexity evaluation module 71 is used to evaluate the complexity of the traffic environment in which the unmanned vehicle is located, and obtain the environmental complexity index M1;
[0118] The driving behavior evaluation module 72 is used to evaluate the driving behavior of the unmanned vehicle and obtain the driving behavior index B k ;
[0119] The driving behavior evaluation module 73 is used to evaluate the real-time performance of the driving operation of the unmanned vehicle, and obtain the real-time performance index M2;
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Abstract
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