ANALYSIS TYPE / 07
Camera System · Sensor Fusion · Perception Validation
Overview
ADAS optical simulation models camera system performance — including resolution, MTF, dynamic range, and lens flare — alongside radar and sensor fusion, to validate detection and perception algorithms before hardware integration. Virtual sensor data generation in representative driving environments enables perception pipeline testing across challenging conditions — tunnel entry, direct glare, night-time — that are impractical or unsafe to replicate in physical test campaigns at early programme stages.
Industries Served
Deliverables
Key Aspects
Computing the system modulation transfer function from lens to sensor — predicting the spatial resolution available to perception algorithms at different scene distances and illumination levels.
Tracing ghost reflections and stray light paths through the camera optical system — identifying configurations that saturate the image or create false detection artefacts.
Evaluating camera response in high-contrast scenes — headlamps at night, tunnel entry, or direct solar glare — and verifying that the HDR imaging system maintains lane and object detection.
Generating synthetic sensor data (camera, LiDAR, radar) in a virtual driving environment to validate sensor fusion algorithms and perception pipelines before physical testing.
Connect with our optics & photonics simulation team to discuss the right approach for your application.
