Machine learning compares event deviations with reference behavior to update vehicle fault models and cut false alarms across vehicle variations.
Real and simulated object data are muxed into augmented perception, enabling safer, more reliable autonomous vehicle scenario testing.
Digital map-based speed profiles recreate route-specific acceleration and deceleration for realistic, reproducible RDE vehicle testing.
Operator-positioned AR graphics make virtual road objects appear real during vehicle testing, improving natural driver reactions.
Multiple delayed speed commands are combined to smooth acceleration and deceleration without tolerance data, enabling natural automated driving tests.
Models calibrated sensor noise and perception errors to make autonomous vehicle motion planning simulations match real-world behavior.
Visual time-series feedback of target and actual pedal input helps less experienced drivers match mode-driving speed on a chassis dynamometer.
Dedicated signal lines between brake controllers speed wheel sensor fault detection and cut dynamic braking blank time.
Distance sensing detects missing outer dual wheels so stability control can update machine width and steering or speed limits to reduce rollover risk.
Adaptive control points refine free space boundary curves around vehicles, cutting memory and compute load without losing local shape accuracy.
Shape complexity indicators adapt control points along vehicle free space boundaries to improve curve accuracy with lower memory use.
By aligning the tire RFV peak with the wheel runout minimum, this case cuts radial force variation and reduces vehicle vibration.
Side-directed airflow with adjustable outlet position and air volume cools targeted wheel and brake parts more efficiently during vehicle testing.
Dual accelerator maps combine feedforward and feedback control to follow command speed without per-vehicle pre-learning.
Coil current analysis detects brake solenoid valve faults during actuation without hydraulic load, pressure-generator activation, or NVH issues.
Time-series features from normal-speed vehicle data build a feature master that detects faults in real time without specialized sensors.
Compares drive and reference wheel rotational behavior to automatically detect torque transfer defects such as loosened wheel nuts.
Wireless capacitive sensing tracks lubricant level and quality in harsh, space-constrained machines while avoiding wiring complexity.
A vehicle simulation computer feeds simulated sensor data to a real autonomous vehicle, exposing hardware response gaps before road deployment.
Shaft torque feedback and engine torque correction help a transmission test bench reproduce real engine behavior without high-frequency noise.
Acceleration events above a threshold are analyzed to profile driving behavior, predict component wear, and adapt vehicle assist control.
Region-specific telematics profiles link climate and usage data to component wear, improving maintenance timing and failure prediction.
A load sensor and controller counter induced steering torque so robotic test equipment does not override automated steering systems.
Selective sensor-data playback and algorithm comparison help reconstruct driving scenarios, speed bug diagnosis, and validate revised AV behavior.
Automatically generated virtual pedestrians use path and behavior specifications to speed valid ADAS intersection testing.
Image-based airbag checks automate inflation and deployment measurement over time, improving verification speed, accuracy, and repeatability.
A removable pressure film and CPU-based evaluation setup measures side-window seal contact pressure across vehicle models with less setup complexity.
Simulated vehicle and cloud-function testing exposes mobile network interference and rate changes early, reducing test drives and development risk.
A bidirectional bench bus injects false parameters and faults to verify EV alarm and protection responses under dangerous electrical conditions.
Real-time vehicle and parts value monitoring improves crash damage assessment and helps route vehicles to the right treatment facility.