Applied Intuition blog

Contrarian Thinking and the Currency of Silicon Valley with Ann Miura-Ko

We hosted Ann Miura-Ko, co-founding partner of early-stage venture capital firm Floodgate, and early investor in well-known companies like Lyft, Okta, TaskRabbit, Twitch, and Twitter before its X rebrand. She talked about how to stand out as a founder and what startups need to be successful.

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Glass and Color: Designing the Fourth Iteration of Applied Intuition’s Brand Language

Every year, we evolve Applied Intuition’s brand language to reflect the evolution of our company. The focus of this year was driven by our progression to be a ‘software tools provider for all vehicles’ and our decision to bring products out of stealth.

September 22, 2021

Announcing Applied Intuition’s Re-Simulation Tool Log Sim

The log re-simulation tool Log Sim enables AV and ADAS engineering teams to analyze disengagement events, evaluate stack performance, and bring safe autonomous systems to market faster.

September 21, 2021

How AV and ADAS Systems Engineers Can Use Public Road Drive Data to Verify Requirements Automatically

It has been historically difficult to verify requirements using public road drive data. Applied Intuition’s “scenario search” automates the error-prone and time-consuming work involved in existing approaches.

September 13, 2021

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.

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