Technology

Improving Perception Algorithms and Reducing Cost Per Bounding Box Through Synthetic Data

September 12, 2020
Annotating and curating datasets from the real-world driving data is a common approach for training AV algorithms, yet it is expensive, biased, prone to errors, and limited in scale. Learn how to use synthetic data to overcome these challenges.
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Progression, Regression, and Modular Testing for Level 2 to Level 4 Autonomous Vehicle Systems

August 17, 2020
No company is too early to implement simulation and automated CI testing regardless of their stage of autonomous vehicle development. The Applied team discusses best practices for setting up tests to speed up the deployment of autonomous algorithms.
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From Procedural Generation to Determinism: Approaches to Simulating Synthetic Perception Data for Autonomous Driving

July 6, 2020
Sensor simulation for autonomous driving systems is an exceedingly difficult task, requiring high-fidelity simulations that could be processed in real-time. There are techniques that could be used to accurately test your perception system.
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Using Domain Coverage to Measure an Automated Driving System’s Performance in a Given ODD

June 4, 2020
With the limitations of requirements and scenario coverage approaches, domain coverage measured on ODDs may be a practical approach to evaluate progress in the autonomy roadmap.
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ISO 26262, SOTIF, and Simulation in Autonomy Systems

May 11, 2020
We discuss how simulation fits into frameworks for building safety critical systems, recent standardization efforts around this technology, and the requirements for simulation tools to support this use case.
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Procedural Generation with Applied Intuition and Toyota

November 8, 2019
Toyota Research Institute - Advanced Development uses Applied’s synthetic data creation capabilities to develop realistic environments for the Lexus LF30 virtual reality experience at the Tokyo Motor Show.
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Frameworks for estimating large-scale Autonomous Vehicle deployments

August 10, 2019
There might be a particular sequence of events that must occur to enable mass commercial deployment of self-driving cars.
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