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ASec、TrackRange、SceneReal

ASec Vehicle Alarm Signal Extraction System

Product Introduction

The ASec function and alarm signal extraction system extracts alarm and function status signals from the dashboard or central control screen through video processing; Extract sound alarm signals through audio processing; Extract tactile reminder signals through vibration analysis. And convert the extracted signal into a CAN signal and send it to other devices.

Core Features

• High recognition accuracy;

•Low latency, approximately 3-5 ms;

•Engineering configuration can be exported for easy reuse;

• Small hardware size, easy to carry;

•The testing environment is easy to set up and the software is easy to operate;

• Low impact on vehicle driving;

• Less affected by bumps, noise, and changes in lighting;

Function interface display

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System framework

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Application scenarios

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Open road testing

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Closed field testing


TrackRange Site Testing System

Product Introduction

TRACKRANGE is a professional ADAS closed field testing system that evaluates the ADAS performance of the main vehicle by collecting motion data from multiple target vehicles. It can be applied to ADAS standard tests such as C-NCAP, Euro NCAP, NHTSH, ISO, etc., and can also automate scoring and generate reports.

Core Features

• Position accuracy<=2cm;

• Real time visualization of experimental parameters;

• Can support testing for up to 3 vehicle operating conditions;

• Support video capture;

• Support C-NCAP (2024) - AEB;

• Parameters can be written into BLF files for analysis by other software;

System framework

Function interface display

Scenario application

BSD

AEB



SceneReal Multi vehicle Scene Control System

Product Introduction

SceneEAL is a set of scene reconstruction tools used for closed testing, specifically for the reconstruction of special, extreme, dangerous, and edge scenes. The system supports the reconstruction of multi-objective complex scenes and high-precision target control. The system includes on-site multi-objective, real-time communication system, cloud scene editing, and experimental management control system. It can simultaneously control 20 targets and control traffic participants such as robots, line controlled vehicles, dummies, fake cars, and driving simulators. It can achieve synchronization and coordination between virtual and real through digital twins. It can be used for unmanned testing in the testing field, automatic control of traffic flow in the testing field, reconstruction of traffic scenes in the testing field, and control of single vehicle testing scenes in the testing field.


Core Features

• Support OpenScenario standard, allowing for quick editing and construction of scenes;

• Bind control parameters with line controlled vehicles to reduce customer tuning time;

• Based on real-time communication networking to meet low latency requirements;

• Automatic recognition and connection of devices on the vehicle end, without the need for additional configuration operations;

• Support wire controlled vehicles, wire controlled robots, mannequins, fake cars, and simulator platforms;

• Supports up to 10 traffic vehicles and 10 pedestrians;

• High control accuracy, lateral control error<=0.2m, longitudinal error<=0.5m, speed error<=0.5KPH;


System framework

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