Telematics-driven user segmentation and dynamic UI selection improve landing page relevance without manual page customization.
Mono-camera pole detection with stored support geometry helps robotic tools navigate uneven solar panel fields and avoid collisions.
Behavior-triggered image capture links in-vehicle photos to driving, motion, and voice changes for easier memory-based retrieval.
Camera or RFID-based door attachment detection keeps seatbelt indicators and other vehicle functions working when removable doors are detached.
Selective near- and far-field VCSEL activation and phase-shifted quasi-sinusoidal patterns improve depth accuracy while lowering power use.
Fixed-grayscale alignment pixels anchor dynamic X-ray charge images within a preset region, improving synthesis accuracy and image consistency.
Prediction-error comparison highlights overlooked objects in front-view scenes, reducing unnecessary vehicle alerts and driver annoyance.
By dimming only the projected glare area using light-source angles and object location, this case improves vehicle visibility and cabin comfort.
Weather, precipitation, and image data are fused to predict vehicle flooding early, warn users, and trigger autonomous relocation.
Detects passenger hailing behavior while the vehicle is moving, then stops and enables boarding only for the recognized person.
A single SPAD array interleaves active and passive imaging to align depth and intensity, reducing motion blur and low-light noise in HMD pass-through.