understand.ai – Intelligent Addition
understand.ai – Intelligent Addition
To accelerate making the vision of autonomous driving a reality, dSPACE strategically expanded its portfolio in 2019 by acquiring the AI-native start-up company understand.ai. The benefit for automotive customers: Having a unique, integrated development and test solution for autonomous driving from a single source at the tip of their hands.
understand.ai (UAI) and dSPACE complement each other perfectly. The UAI data anonymization, data annotation, and scenario generation portfolio integrates seamlessly with dSPACE solutions for data logging on one hand and data replay and simulation on the other.
The expertise of understand.ai focuses on developing algorithms that drive efficiencies in training and testing of functions for autonomous driving. By creating a powerful automation engine for training and validation data annotation, understand.ai orchestrates the enrichment of sensor data recorded during test drives and turns them into simulable scenarios. The underlying technology is based on deep neutral networks and ensures precise and cost-effective training and validation of autonomous driving.
Products and Services
High-quality, high-throughput annotation tooling based on Zero-Touch Annotation™ Automation.
- 3D Annotation Tooling
- 2D Annotation Tooling – Bounding Boxes
- 2D & 3D Semantic Segmentation
- 2D & 3D Polylines
Creation of realistic scenarios based on recorded real-world data for large-scale testing of autonomous driving functions.
An identity protection anonymizer to remove more than 99% of all identifiable faces and license plates. GDPR, APPI, CSL, CCPA compliant by design.
Film: Data Annotation
Nagranie z Innovation Coffee Break
To make the vision of Autonomous Driving a reality, testing and validation processes require huge amounts of data.
To train their perception and navigation routines, self-driving vehicles are presented with testing footage and annotated objects like cars, pedestrians and road signals.
While these #annotations were done manually in the past, the increasing complexity of autonomous driving functions and validation requirements have multiplied the amount of required testing kilometers – and therefore the amount of objects to be annotated. To handle these billions of objects, understand.ai erstand.ai develops efficient solutions for automated annotation via artificial intelligence.
Watch our newest #InnovationCoffeeBreak, hosted by understand.ai, to learn how this automation can save you cost and time.
Are you interested in more information about the understand.ai automation engine? Then just head over to: https://understand.ai/