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High-Volume Edge Data Ingest for ADAS/AV

The Issue

The Automotive industry vertical is going through a dramatic transformation.
Thanks to the emergence of increasing levels of driving autonomy in both personal and commercial use vehicles.
These autonomous capabilities span the spectrum from L2/L3-level ADAS (Advanced Driver Assistance Systems) to L4/L5-level AV (Autonomous Vehicles).
These capabilities are realized using perception and higher-level planning and routing algorithms that take as input data about the vehicle’s environment from a growing collection of rich sensors — camera, LIDAR, and RADAR, which augment traditional telematics and log information (GPS, IMU, CAN bus, etc.) — and external sources such as HD Maps and V2I/V2X platforms.
Successful development and production deployment of ADAS/AV perception and planning/routing algorithms require access to large volumes of real-world data from drives performed by test, validation, and production vehicles.
This data is collected from individual vehicle drives, often amounting to several Terabytes (TB) per vehicle per drive, and depending on the type of vehicle (test, validation, or production), is offloaded from the vehicle either using physical media (HDDs/SSDs or custom logging devices), or sent directly to the destination over cellular networks.
Independent of the mechanism, the collected vehicle data needs to be transferred to a data center or cloud environment where one can store the vast volumes of data in a cost-effective fashion, transform the data as required for analytics and perception model training tasks, enrich the data to create metadata, which is then used by model training and general analytics pipelines to retrieve the data.
The overall problem of managing the collection, transmittal, transformation, tagging, and retrieval of ADAS/AV data is complex because of multiple interrelated reasons — the geo-distributed nature of the source vehicles, the volume of data produced by each vehicle, and the shifting focus on the current most-relevant subset of the data (a function of how well the perception algorithm is performing and where its edge cases lie) — and the need to carry out all of the operations in a scalable, timely, and cost-effective fashion.
Existing solutions that attempt to collect and transmit all vehicle data to a central facility prior to running any data pipelines suffer from long delays (from data collection to data use), large resource needs (for data storage and analytics), and poor team productivity (to retrieve the data of most interest for a specific task).

The Akridata Solution

Akridata’s Edge Data Platform provides a comprehensive solution to the ADAS/AV data management problem.
Smart edge processing components enable data collection and transformation activities to start as close to data sources as possible (e.g., at a garage where the test vehicles arrive after their drives, or in certain cases, within the vehicle itself).
Edge processing:
The logic capturing all of the actions above is expressed in the form of programmable workflows, which represent processing pipelines built out of individual modules expressed in various languages. Workflows are centrally developed, can be conveniently and flexibly deployed to one or more edge locations, and can be integrated with CICD processes to provide consistent behaviors with version control.
Together, the workflow-enabled smart edge processing supported by the Edge Data Platform enables a highly automated, efficient, and scalable data ingest process of the kind illustrated in the figure below, which represents an edge-datacenter-cloud deployment at a leading Auto OEM.
Characteristics of the deployment include:
The deployment has helped the customer achieve:

Get Started with Akridata

Akridata’s Edge Data Platform provides an easy-to-deploy, built-for-scale, flexible and extensible solution to the problem of ingesting test and production vehicle data for ADAS/AV programs.
The edge ingest functionality can also be used in other verticals encountering similar problems such as Manufacturing, Smart Retail and Smart Cities.
Contact us today to experience the power of the Akridata Edge Data Platform for yourself.