in the carAI fieldBoth the development of advanced driver assistance systems (ADAS) and autonomous driving technology requiredataThereforeHigh quality and precisionandRecord complete dataIt is the core support for neural network training, validation, and simulation testing.

However,data collectionOften in the AI development lifecycleThe cost is very highThe process requires investment in vehicles, sensors, drivers, customized software, and a significant amount of engineering time. Even more troubling is that due toImproper deployment of sensors、Calibration misalignment、Version control is missingorDiagnostic metadata omissionwaitAvoidable issuesThis huge investment often fails to fully realize its value, ultimately leading to a slowdown in research and development progress and increased difficulty in debugging,The credibility of the data is greatly reduced.

This article introducesAIData Fully Automated Data Processing SolutionIt is precisely to help designers avoid these problems from the beginning. This solution not only helps users createhighly automatedandOpennessThe auto drive system can ensure that the data ownership only belongs to the user himself. With rich experience accumulated in actual projectsAvoiding costly mistakesEffectively reducing labor costs and computing resource consumption, accelerating the implementation of automotive AI technology.

AiData Recordercarry, mount, equip, deployAdaptive intelligent data acquisition software, throughAccurate sensor calibrationandsynchronization technologyGenerate high-quality data sources for autonomous driving technology.

① Support offline and real-time dynamic calibration of multimodal sensor arrays

② Realize high-precision time synchronization of sensor recording

aiData Auto Annotator

AiData Auto AnnotatorIt is a multi-sensor automatic annotation solution based on artificial intelligence, which achieves industry excellence for dynamic and static objectsThe precision of annotationAfter collecting the raw dataProcessing can be completed in a few hours.

① Synchronize annotation of full sensor data such as LiDAR point clouds and camera images to construct a spatiotemporal unified 4D environment model

② The accuracy of static object annotation reaches 100%, and the accuracy of dynamic object annotation exceeds 92%

aiData Metrics

AiData Metrics (Indicator Evaluation System)integrationMultidimensional indicatorsEvaluation system,real-time monitoringMatching research and development progress with requirements, providing in-depth analysis of data gaps.

① Intelligent diagnosis supporting data value and missing links

② Equipped with a set of neural network algorithm evaluation tools, covering benchmark testing of core algorithms such as environment perception and target tracking

aiData Versioning System

AiData Versions System (Version Control System, DVS）constructedTransparent and traceable throughout the entire processA data management system that supports diverse application scenariosCustomized dataset construction.

① Integrating cutting-edge AI technology to provide intelligent search functions based on text, images, and scenes

② Support local private deployment to ensure data security, or cloud deployment to promote efficient team collaboration

Reliability of sensor configurationIt is a prerequisite for data quality, and aiData achieves it throughscientific planningandsimulation verificationBuild a solid foundation for data collection.

Before physical installation, useKangmou aiSim simulation toolPerform virtual verification on sensor layout, accurately identify blind spots, overlapping fields of view, and range limitations, and optimize sensor positions. At the same time, avoid installing GT sensors on moving parts such as rearview mirrors and trunk lids to prevent calibration stability from being affected. Using AI optimized 3D printing to reinforce rigid mounting brackets, replacing bulky and potentially interfering metal structures, ensuring installation stability and reducing safety risks;

Configure the plan from the initial stageHigh performance GT sensorTaking into account bothCurrent demandandFuture technological evolutionIn the process of sensor integration, fully consider the impact of adding new sensors on the data processing flow, reserve sufficient verification time, and ensure the integration of sensors with the systemadaptabilityProvide for multiple rounds of data collectionunify、Reliable hardware foundation.

Accurate calibration and synchronization

sensorCalibration accuracyandTime synchronization accuracyDirectly determining the value of the dataset,aiDatapassautomation technologyRealize precise control of calibration and synchronization.

According to aiDataSpecific application scenariosDefine calibration tolerances and set accuracy standards for very strict usage requirements, rather than using uniform standards; In addition, equipped withAutomated verification toolContinuously monitor the calibration status during or after each driving process to promptly detect deviations. Simultaneously carry out all calibration changesVersion HistoryClearly define the effective range of calibration data to ensure traceability of the debugging process,Effectively managing sensor drift issues.

AiData also prioritizes supportHardware synchronizationofsensor, and built-inReal time diagnostic functionDynamically verify the accuracy of time series, automatically mark abnormal situations, and avoid dataset failure caused by calibration or synchronization errors.

Intelligent recording software configuration

Efficient recording software is the guarantee of data integrity, and aiData adoptsRefined configurationEnsure dataTraceable and reusable.

① Record raw data instead of post processed output to reserve space for future reprocessing;

② Comprehensively record various data such as sensor output, system status, GPS information, diagnostic markers, operator notes, and environmental conditions, forming a complete metadata link.

③ Sensor parameter control and automatic metadata generation can be achieved through a single operating interface, ensuring consistency and traceability of data flow.

Simultaneously, devices such as Logger and Converter can be usedFlexible installationUnderneath the luggage compartment floor, it does not affect the normal use of the trunk and takes into account bothpracticalityandspace utilization.

Real time feedback from drivers

To prevent ineffective data collection caused by sensor failures, aiData is equipped withReal time driver dashboardVisually display the operating status of the system, allowing drivers to detect abnormalities in real time.

The dashboard design emphasizes visibility and ease of use, throughClear visual cuesAssist drivers in quickly identifying errors.

BesidesBuilt in dynamic diagnostic mechanismSet clear thresholds for issues such as sensor overheating, occlusion, and synchronization loss. Once triggered, issue intervention prompts to the driver to ensure 500 kilometers, etcLong distance collection taskChineseContinuity of dataandeffectivenessTo avoid situations where data failure is discovered later on.

Optimize data upload and management

dataAccessibilityDirectly affecting its value realization, aiDataautomated processandIntelligent management functionQuickly convert data into research and development momentum.

Deploy an upload station at the site where the vehicle completes the collection task,Supports hot swappable standard SSDs,implementAutomatic data uploadandStart the processing flow immediatelyNo need to wait for days or even weeks for engineers to obtain data.

If connectedTested software (SuT)Can utilize the automatic markers generated during the collection process,prioritizeKey data with software confidence lower than expected; In addition, by tracking diagnostic trends and threshold changes,Identify potential hardware issues in advanceAnd handle it promptly. All recorded data and diagnostic information are implementedAutomatic upload, processing, and indexingEnsure that the team can quickly obtain the required data and maintain research and development agility.

High quality dataIt is the core cornerstone of the landing of autonomous driving technology, andaiDataWith coverageData collection, annotation, evaluation, management, and supplementationofFull process automation capabilitySolved the problem of traditional data processing成本高、inefficient、poor quality、High security riskWaiting for pain points.

aiDataWith precise and efficient technical capabilities, flexible and secure deployment models, and customized services that meet specific needs, it has becomeOEM manufacturerandTier-1 suppliersOn the road of autonomous driving research and developmentReliable partner.