STRADVISION Launches Advanced Data Management Model for SVNet 3D Perception Network Production
STRADVISION Unveils New Data Management Workflow
STRADVISION, a leader in deep learning vision technology, has recently rolled out an innovative Data Management Workflow that aims to significantly enhance the efficiency of the mass production of its SVNet 3D Perception Network. This new workflow was showcased to the industry at CES® 2025, highlighting STRADVISION's commitment to advancing autonomous driving technologies.
What is the Data Management Workflow?
The Data Management Workflow integrates automation from start to finish—covering data collection, processing, labeling, and financial settlements. By adopting a cloud-based infrastructure, it optimizes various aspects of operations, ultimately boosting data quality and reducing operational costs.
The increased demand for processing 3D data, essential for both autonomous vehicles and advanced driver assistance systems (ADAS), necessitated a shift beyond traditional 2D data approaches. This prompted STRADVISION to focus on a more comprehensive solution that could handle extensive data sets efficiently.
Key Features of the Workflow
1. High-Quality Data Collection: Utilizing the STRADVISION Unified Recording Framework (SURF), the workflow merges diverse sensor inputs which maximizes the overall quality of collected data.
2. Automated Data Pipeline: Built on scalable technologies such as Kubernetes and Airflow, this system optimizes server resource allocation, streamlining data processing and efficiently managing large data volumes.
3. Web-Based Labeling Tools: The inclusion of a user-friendly labeling tool, known as Labelit, allows for multi-channel camera and 3D data labeling all in one place. The tool leverages automatic pre-labeling from the Auto Labeling Tool (ALT), supplemented by corrections from the Auto Labeling Assistant Service (ALAS), which enhances the accuracy and lowers error rates during the labeling process.
4. Automated Settlement and Analysis: By employing services like Workload Logging Service (WLS) and Workload Replay Service (WRS), the system automates the analysis of tasks and cost management related to data labeling, which improves overall efficiency.
Impact on Data Processing and Customer Relationships
This innovative workflow not only aids in speeding up data processing and ensuring high-quality assurance internally but also supports customers by providing quick access to quality data. Such capabilities empower clients as they pursue their technology advancements and performance improvements.
STRADVISION's expertise has been further validated through successful collaborations, notably resulting in high praise for the Auto Labeling Assistant Service and motion compensation solutions. These contributions reinforce STRADVISION's reputation as a reliable partner within the industry.
Quote from Leadership
Junhwan Kim, CEO of STRADVISION, remarked, "This Data Management Workflow symbolizes more than just efficiency. It is pivotal for scaling up the commercialization efforts of autonomous driving technologies. Our dedication lies in fostering innovation and enhancing our global position via close collaborations with our customers."
About STRADVISION
Founded in 2014, STRADVISION has positioned itself as a pioneer within the automotive landscape, specializing in artificial intelligence-driven vision perception technology for ADAS applications. The company's SVNet technology is increasingly being deployed across various vehicle models in collaboration with original equipment manufacturers (OEMs), providing functionalities essential for the evolution towards fully autonomous vehicles. With global presence in major cities such as Seoul, San Jose, and Tokyo, STRADVISION is backed by a passionate team of over 300 professionals and boasts several prestigious awards, including the Frost & Sullivan’s 2022 Global Technology Innovation Leadership Award. Additionally, STRADVISION maintains rigorous standards for information security and quality management, holding certifications like TISAX and ISO 9001:2015.
For more information about STRADVISION and its leading technologies, visit STRADVISION’s official website.