Applied Intuition blog

Bringing Vehicle Intelligence to Every Moving Machine: Applied Intuition Raises Series F at $15B Valuation

With a $15 billion valuation following its Series F round and tender offer, Applied Intuition is fueling the next wave of innovation in AI-powered vehicle intelligence. Backed by leading investors, we are committed to empowering automakers, trucking fleets, and defense organizations to deliver safer and future-ready vehicles across global markets.

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Introducing Validation Toolset and Data Explorer: Tools for V&V and Drive Data Exploration

The V&V platform Validation Toolset and the drive data exploration tool Data Explorer allow AV and ADAS engineering teams to prepare for long-tail events and deploy safe automated driving systems to the public.

September 9, 2021

A Computationally Efficient, Machine Learning-Based Approach to Identify Failure Cases for AV Validation

A more computationally efficient approach to find failing cases in exponentially large parameter spaces is required. Read on to learn about an ML-based approach to complement your existing validation workflows.

Impacting Worldwide Autonomy Programs at the Cross-Function of Business and Engineering

Applied Intuition’s application software engineers (ASEs) play a critical role throughout the customer’s AV development journey. Here's a look at how they support AV development teams using their domain expertise.

Approaches to Simulating Autonomous System Coordination and Task Allocation in Multi-Robot Systems

There are increasingly more commercial applications for autonomous multi-robot systems. We discuss examples of use cases and testing considerations to ensure the safety and advancement of the system algorithms.

Achieving Higher Fidelity Sensor Models with Ray Tracing and Vulkan API

The Applied Intuition team is building Vulkan rendering capabilities. Learn how ray tracing can improve the fidelity and performance of sensor data for perception system development.

From Research to Production: Strategies for Perception Simulation (Part 2 of 2)

The Applied Intuition team evaluates the common perception simulation approaches against five key requirements. Simulated lidar can be almost indistinguishable from real data through detailed sensor validation.

Inside the Process: Building 3D Environment Visualization for Applied Intuition’s Core Simulator

This is the first post of the series to share behind-the-scene engineering work at Applied Intuition. We'll share our journey of building out a mission-critical component of our software, visualizer.

From Research to Production: Strategies for Perception Simulation (Part 1 of 2)

There are multiple forms of perception simulations. Which approach is the most suitable for training and validation for production deployment?

Open Standards and Their Critical Role in AV/ADAS Development

Applied Intuition is a supporter of open standards for simulation tests and is an active participant in the ASAM projects. Here’s a look at how Applied Intuition works with the standards and addresses their limitations today.

Overcoming Rigorous Verification Challenges in Autonomous Systems Development

While it is tempting to use formal methods ‘for everything’, it is more effective to use the right mix of methods at the required level of verification and validation for developing and deploying L3+ autonomous systems.

February 1, 2021

Resources

Case Study: Using Synthetic Data to Improve Traffic Sign Classification and Achieve Regulatory Compliance

Applied Intuition’s Log Management Handbook: Log-Based Test Cases (Part 3)

November 10, 2022

Applied Intuition’s Log Management Handbook: Drive Data Exploration (Part 2)

November 1, 2022

Applied Intuition’s Log Management Handbook: Powering Autonomy With Drive Data (Part 1)

October 19, 2022

Applied Intuition’s V&V Handbook: Analytics and Reporting (Part 3)

Applied Intuition’s V&V Handbook: Scenario Creation and Test Execution (Part 2)

Applied Intuition’s V&V Handbook: Verification and Validation at Different Stages of ADAS and ADS Development (Part 1)

Case Study: Improving Object Detection Performance by Leveraging Synthetic Data

December 13, 2021