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Gasgoo Awards 2022 applicant: In-Vehicle Data Logging offering from NI

From NI| July 01 , 2022 15:58 BJT

For the Gasgoo Awards 2022, ADAS/AD High-Bandwidth In-Vehicle Data Logging offering from NI has applied for the Top 100 Players of China's New Automotive Supply Chain. 

Gasgoo Awards 2022 applicant: In-Vehicle Data Logging offering from NI

Photo credit: NI

Product: ADAS/AD High-Bandwidth In-Vehicle Data Logging offering

Description

Advanced driver-assistance system (ADAS) test engineers record sensor and ground truth data during road testing to verify sensor capabilities and train ADAS and autonomous vehicle (AV) algorithms. Autonomous driving (AD) software demands multiple high-bandwidth sensors, driving exponential data volume and movement growth. To cost-effectively keep up with technology, today’s data-recording solutions must be simultaneously high-performance, forward-thinking, and adaptable.

Gasgoo Awards 2022 applicant: In-Vehicle Data Logging offering from NI

Photo credit: NI

Unique advantages

• Future-Proof Systems—Hardware and software customization, flexibility, and third-party openness

• More than just a Logger—A single unified toolchain for data record, digital twin creation, data replay, software (SIL), and hardware in the loop (HIL)

• Increased Data Quality—Instrument-grade I/O, throughput, timing and synchronization, and edge computing capabilities for smart data reduction

• Maximum Data Security and Reduced Cost of Data—Fully encrypted, enterprise grade storage solution and cost-efficient Storage as a Service (STaaS) model

• Minimum System Complexity—One system for a reduced footprint and power consumption

Application

Record sensor and ground truth data during road testing to verify sensor capabilities and train ADAS and autonomous vehicle (AV) algorithms. Autonomous driving (AD) software demands multiple high-bandwidth sensors, driving exponential data volume and movement growth. To cost-effectively keep up with technology, today’s data-recording solutions must be simultaneously high-performance, forward-thinking, and adaptable.

Prospect

Autonomous vehicles are gradually moving from L2 to L4. Autonomous driving algorithms, as the core competitiveness, require a large amount of road data for training. Many vehicles equipped with reliable data acquisition systems will continuously provide high-quality data for self-driving algorithms.

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