Automatic driving intelligent adaptive method and system based on driving environment perception
A technology for autonomous driving and driving environment, applied in neural learning methods, biological neural network models, control devices, etc., can solve problems such as poor autonomous driving experience, waste of system resources, fixed perception planning and control, etc.
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[0033]Example 1
[0034]The embodiment of the present invention provides a driving intelligence adaptive method based on driving environment, based on multi-sensor combination and redundant configuration, pluggable component self-driving operating system, algorithm, and functional componentization, and interface. And multiple algorithm plug-ins of the redundant structure and similar algorithm components match the performance and interactive force, such asfigure 1 As shown, including:
[0035]Step S1: Vehicle driving environment information is perceived by constructing a multi-level, multi-dimensional state of environment sensing model.
[0036]In the embodiment of the present invention, the situation environment perception model includes: environmental perception model, vehicle perceived model, and driver intent sensation model, wherein based on road conditions, weather, traffic information constructing environmental aware model; based on vehicle own status information, constructing its own ...
Example Embodiment
[0042]Example 2
[0043]The embodiment of the present invention provides an automatic driving intelligence adaptive system based on driving environment, such asimage 3 As shown, including:
[0044]Situation perception system 1 for perception of vehicle driving environment information based on multi-level, multi-dimensional hustle environments; the situation environment perception model includes: environmental perceived model, vehicle perceived model, and driver intent sensation model, this module performs an embodiment The method described in step S1 in 1 is not described herein.
[0045]Intelligent Expert System 2, is used to generate automatic driving decision logic according to a perceived vehicle driving environment information according to the situation in which the system is perceived; specifically, based on the micro service driving rule library generated operational decision logic, this module performs step S2 in Example 1 The method described is not described herein again.
[0046]Dyna...
Example Embodiment
[0050]Example 3
[0051]The embodiment of the present invention provides a computer device, such asFigure 5As shown,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, The communication bus 402 is used to implement connection communication between these components. The communication interface 403 can include a display, a keyboard (Keyboard), and optional communication interface 403 can also include a standard wired interface, a wireless interface. Memory 404 can be a high speed RAM memory (Ramdom Access Memory, volatile random access memory), or a non-Volatile Memory, such as at least one disk memory. Memory 404 may also be at least one storage device located away from the processor 401. Where the processor 401 can perform a driving intelligence adaptive method based on driving environment perceived perception of Example 1. The memory 404 stores a set of program code, and the processor 401 calls the program code stored in the memory 404 for performing t...
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