Sensor suite design and validation

Define sensor requirements, evaluate options across suppliers, and optimize sensor calibrations, mounting positions, and brackets.

See the workflow

“By working with Applied Intuition to provide high-fidelity sensor simulation to our customers, we have greatly simplified the sensor integration process and ultimately accelerated a customer’s time to autonomy.”

Mark Frichtl

CTO, Ouster

Customer challenge

The sensor suite performance of advanced driver-assistance systems (ADAS) and automated driving (AD) systems depends on many variables. This makes selecting sensor hardware, optimizing its mounting position and bracket, and testing against requirements difficult.

There are hundreds of sensor options and vendors on the market

Creating test rigs and setting up real-world tests is time and cost-intensive

Each change to a vehicle’s chassis, operational design domain (ODD), or capabilities impacts the optimal configuration

It is impossible to deterministically test against faults, adverse conditions, and edge cases for every potential sensor suite

Applied Intuition’s solution

Applied Intuition’s physically accurate, real-time sensor simulation solution models real-world sensors, enables teams to test thousands of potential configurations, and analyzes performance to identify sensor suites that optimize performance while minimizing costs.

Select validated, hardware-specific sensors from Applied Intuition’s pre-configured library, or flexibly model new sensors

Build hypotheses by visualizing sensor and sensor suite field of view coverage, overlap, and blindspots in 3D

Run realistic simulations to quantitatively evaluate and compare sensor suite performance

Scale simulations with an optimization toolkit that uses both classical and generative approaches to explore new promising options efficiently while avoiding excess computation

Design and validate an optimal sensor suite

01

Define sensor suite requirements

Define requirements based on upcoming vehicle features and perception needs. Tie requirements to metrics or concrete test cases.

Validation Toolset

02

Experiment with candidate sensors and packaging locations

Model your vehicle and experiment with different sensors, sensor mounting positions, and brackets. Visualize fields of view coverage, overlap, and blindspots to intuitively understand performance and make design tradeoffs.

Sensor Sim

03

Run simulation tests

Execute physically accurate sensor simulations to evaluate thousands of sensor suites across a deterministic battery of static and dynamic tests. Efficiently explore the solution space with both classical and generative algorithms that automatically suggest promising sensor suites.

Object Sim Cloud Engine CarSim Validation Toolset

04

Evaluate results

Compare sensor suites quantitatively using sensor coverage and perception performance metrics. Assess system performance against requirements.

Validation Toolset