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ADAS algorithm verification method and device based on Carla platform

An algorithm verification and platform technology, applied in the direction of instruments, electrical testing/monitoring, control/regulation systems, etc., can solve problems such as the inability to improve the test performance of ADAS algorithms

Inactive Publication Date: 2021-05-28
自行科技(武汉)有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the present invention proposes a method and device for verifying ADAS algorithms based on the Carla platform, aiming to solve the technical problem that the prior art cannot improve the test performance of ADAS algorithms through the Carla platform

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  • ADAS algorithm verification method and device based on Carla platform
  • ADAS algorithm verification method and device based on Carla platform
  • ADAS algorithm verification method and device based on Carla platform

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Embodiment Construction

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in combination with the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the implementation manners in the present invention, all other implementation manners obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0037] Such as figure 1 As shown, the electronic device may include: a processor 1001 , such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002 , a user interface 1003 , a network interface 1004 , and a memory 1005 . Wherein, the communication bus 1002 is used to realize connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a key...

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Abstract

The invention provides an ADAS algorithm verification method and device based on a Carla platform. The method includes the steps of obtaining to-be-tested object information and to-be-tested environment information, and creating a corresponding simulation object in a Carla platform according to the to-be-tested object information and the to-be-tested environment information; connecting the simulation object with an ADAS algorithm, obtaining a to-be-tested operation instruction, controlling the simulation object through the to-be-tested operation instruction, and obtaining a test picture image frame; processing the test picture image frame through an ADAS algorithm, and feeding a processing result back to a Carla platform real-time picture; and obtaining an expected test effect of the ADAS algorithm, comparing the processing result with the expected test effect, and verifying the ADAS algorithm according to a comparison result. By means of the Carla platform, different environment requirements of the ADAS algorithm can be met, a specific test environment is created, the performance of the algorithm is tested in multiple aspects, the test performance of the ADAS algorithm can be improved, and the robustness of the ADAS algorithm is improved.

Description

technical field [0001] The invention relates to the technical field of computer software, in particular to an ADAS algorithm verification method and device based on a Carla platform. Background technique [0002] In the hot era of artificial intelligence, unmanned driving algorithms based on deep learning emerge in endlessly. The model training of deep learning algorithms and the verification of algorithm robustness effects cannot be separated from the construction and testing of simulation environments. The real environment of unmanned driving is usually It is more complicated, and it is difficult to simulate the specific environment that the algorithm needs to test. In order to build a specific test environment for the algorithm to test the effect of the algorithm is an indispensable step to improve the performance of the deep learning algorithm. [0003] The ADAS algorithm mainly involves two aspects of target collision warning and lane departure warning. The current ADAS...

Claims

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Application Information

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IPC IPC(8): G05B23/02
CPCG05B23/0213G05B2219/24065
Inventor 胡永才谌璟孙庆新
Owner 自行科技(武汉)有限公司
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