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 at Ouster
Customer challenge
The sensor suite performance of advanced driver assistance systems (ADAS) and autonomous vehicles (AVs) 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’s solution
Applied’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’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 high-fidelity simulations to quantitatively evaluate and compare sensor suite performance
Scale simulations with an optimization toolkit to explore new promising options efficiently while avoiding excess computation

Design and validate an optimal sensor suite

Define sensor suite requirements
Define requirements based on upcoming vehicle features and perception needs. Tie requirements to metrics or concrete test cases.
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.
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 algorithms that automatically suggest promising sensor suites.
Evaluate results
Compare sensor suites quantitatively using sensor coverage and perception performance metrics. Assess system performance against requirements.
Drive impact for perception system performance
Optimize sensor suite performance
Consider the entire solution space, expose faults in edge cases, and reliably find the best sensor suite option
Accelerate time to market
Evaluate upcoming sensors before physical samples are available, validate performance in simulation, and reduce time spent on real-world testing by 90%
Reduce costs
Avoid the costs of acquiring various physical sensors and conducting real-world testing
Additional resources

See our toolkit in action

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