A vehicle presentation control device acquires travel plans and determines if behavior change magnitudes exceed a threshold to present upcoming actions.
Dynamic selection of processing units and recognition applications by external information resolves detection speed versus accuracy trade-offs.
Multi-sensor fusion creates a bird's eye view image to resolve blind spots and improve lane recognition accuracy in driver assistance systems.
Electronic control unit detects oncoming vehicle position relative to host vehicle turning circle.
A wireless device estimates target distance by transmitting waveforms and analyzing reflected channel impulse responses.
A parking assistance system guides vehicle motion using detection device properties to measure parking spaces accurately.
Stationary unit determines right of way using vehicle position data, reducing collision risk at uncontrolled intersections.
A driving control apparatus extracts discrete traffic events to create sequential action plans for real-time vehicle navigation.
A vehicle merging controller delays lane change initiation when road markings are unreadable.
A lane keeping system adjusts steering torque using forecast points on the vehicle trajectory.
Machine learning program predicts road friction coefficients using traffic speed data to enable proactive vehicle control adjustments.
A constraint generator defines a no-entry zone to specify the distance between a subject vehicle and an obstacle during steering maneuvers.
A saddled vehicle cruise control system adjusts forward spacing based on detected side distances to surrounding vehicles.
A vehicular surveillance device adjusts obstacle prediction ranges based on host vehicle state to compute risk efficiently.
A lane change assist device executes yaw angle return control to guide the vehicle back to its original lane using dynamic steering limits.
A vehicle control method receives wireless signals from a leading vehicle to manage velocity and acceleration while monitoring distances using on-board sensors.
A reckless vehicle reporting apparatus displays nearby vehicles using distinct visual modes to identify hazardous driving behavior.
A traveled-route selecting apparatus identifies the closest vehicle by analyzing its actual path history rather than estimated own-vehicle trajectories.