The ASec3 vehicle alarm signal extraction system is used for intelligent driving test validation, featuring multimodal signal acquisition, extraction and protocol conversion. It can capture and extract vehicle audio alarms, optical warnings and mechanical vibration signals in real time, and convert them into standardized CAN / CAN FD bus signals through built-in intelligent algorithms, while supporting signal output. The system supports coordinated operation with Euro-NCAP and C-NCAP regulatory test systems, test robots and automated test platforms.

The system provides a full-stack solution for intelligent driving (autonomous driving) testing, intelligent cockpit testing, vehicle performance characterization testing and scenario closed-loop validation.

Product Features

·Supports parallel extraction of icon alarm signals from 8 independent partitions.

·Supports parallel extraction of 8 types of audio feature alarm signals.

·Based on AI visual recognition technology, with AI recognition capability.

·Supports users in independently building audio/video alarm signal databases for multiple vehicle models, which can be loaded with one click in later tests.

·Connected test ecosystem, directly compatible with ABD driving robot systems, field measurement and control systems and regulatory test platforms.

·Supports intelligent protocol conversion, with a built-in standards-compliant CAN2.0 / CAN FD signal generation engine.

·The system has a built-in environmental noise filtering algorithm that improves signal validity.

·Low latency: the system has high-speed data processing capability, with latency less than 5 ms.

·High recognition accuracy: stably identifies key targets, improving the reliability of test results.

Product Images

SceneReal Multi-vehicle Scenario Control System

Product Introduction

SceneREAL is a scenario reconstruction tool for closed-course testing. It rebuilds special, extreme, dangerous and edge-case scenarios on real proving grounds. The system supports reconstruction of complex multi-target scenarios together with high-precision target control, and consists of multi-target units on site, a real-time communication system, cloud-based scenario editing, and a test management and control system. It can control up to 20 targets simultaneously, including robots, drive-by-wire vehicles, dummies, surrogate vehicles and driving simulators, and can synchronise virtual and real elements through digital twin technology.

It can be used for unmanned proving ground testing, automatic traffic flow control, reproduction of traffic scenarios on the proving ground, and single-vehicle scenario control.

Key Features

· Supports the OpenSCENARIO standard for fast scenario editing and construction

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

· Supports drive-by-wire vehicles, drive-by-wire robots, dummies, surrogate vehicles and simulator platforms

· High control accuracy with limited lateral control error

· Control parameters are bound to the drive-by-wire vehicle, reducing customer tuning time

· On-board devices are recognised and connected automatically, with no extra configuration

· Supports up to 10 traffic vehicles and 10 pedestrians

System Framework