A collision determination device calculates movement angles and lane line states to assess risk.
A control system extracts vertical projection data from non-contact sensors to store map information for autonomous travel.
A thermal radiation detector uses multiple infrared sensors to sense temperature changes across distinct coverage zones.
A driver assistance system detects preceding vehicle turn-offs by measuring the apparent distance between rear lights in camera images.
Master lens and optical diffuser split imaging across multiple optoelectronic devices, resolving light sensitivity versus frame rate tradeoffs.
A lane departure prevention apparatus displays virtual lane boundaries to maintain visual consistency with detected lines.
A mobile communication device calculates relative position and speed to alert drivers of approaching emergency vehicles.
An electro-optic device within a vehicular rearview assembly switches states to manage light transmittance and reduce glare.
On-vehicle information processing device acquires dynamic driver state data from nearby vehicles to control attention calling for the own vehicle driver.
An object tracking device segments velocity estimates by observation angle to reduce computational load.
A vehicle driving support device calculates object acceleration to determine collision risk.
A perimeter monitoring system uses multiple object detecting devices and a controller to generate alarms based on detection values.
A smartphone application detects overhead hazards and compares their height to the vehicle.
A vehicle collision avoidance system defines a dynamic monitoring area that moves with the host object to detect nearby targets.
A collision avoidance system detects obstacles in blind spots and alerts operators via a visual display interface.
A remote control device resizes a user interface component to extend torque output range when a vehicle becomes immovable.
A radar apparatus adjusts light emission frequency and intensity based on vehicle movement states to optimize energy usage.
A vehicle safety system detects lane change intentions and reports them to surrounding vehicles via Car2Car communication.
A parking assistance system modifies vehicle trajectories using sensor data to maintain safe tire distances from curbs.
A driver assistance system determines optimized trajectories for an ego-vehicle by analyzing current traffic situations and predicting surrounding vehicle behaviors.
A vehicle lane change assist apparatus processes cubic object information from multiple radar sensors to verify object existence before executing a lane change.
A driving support device calculates collision risk using vehicle and obstacle information to determine sudden braking causes.
Electronic device predicts virtual danger objects using region and road information to alert drivers before hazards enter the camera field of view.
A video encoding system creates indexed data chunks from image frames to enable fast random access.
Prioritizing image sensor data over radar measurements during dual-detection states maintains continuity of collision assessment and reduces driver discomfort.
A vehicle control device adjusts inter-vehicle distance to manage traffic flow dynamics.
A lane change decision aid system issues visual, auditory, and haptic warnings to alert drivers of adjacent vehicles.
A risk evaluation system estimates target vehicle stop distances to assess overtaking hazards.
Absolute arrival timing eliminates variable delays from speed-dependent track circuits, ensuring consistent warning times.
A vehicle device selects ideal travel data based on driver feeling estimation and notifies deviations from that target state.
Automatic view selection algorithms resolve complexity trade-offs while enabling real-time external monitoring of autonomous driving operations.
Segmented display scales adapt resolution as aircraft stairs approach, resolving measurement precision trade-offs during close-range docking.
A measuring device adjusts its scan range based on received signal data to maintain accurate object detection.
A vehicle collision judging device determines target orientation and temporal changes to assess collision likelihood accurately.
A display control apparatus overlays a vehicle object on a landscape to visually represent future movement.
A vehicle control device learns driver operations during autonomous driving to correct control parameters.
A vehicle estimation device transmits future trajectory waypoints to reduce communication bandwidth usage.
Light projecting systems illuminate driving surfaces to display vehicle intentions, resolving information loss in complex traffic scenarios.
A drive assistance system uses prediction locus estimation to designate primary and secondary targets for coordinated avoidance control.
Grid servers process mobile device trajectory data to predict collisions, avoiding the high cost of dedicated roadside infrastructure.
Cloud computing analyzes reflected radio signals from object transponders to calculate collision risks and warn drivers of imperceptible hazards.
A vehicle control system dynamically interrupts lane change procedures using processor-based decision logic to return the vehicle to its original lane.
A driver imaging apparatus captures two images at different exposures to process face regions accurately.
A driver assistance system adjusts hazard intervention thresholds based on the driver's gaze direction to optimize response timing.
A vehicle driving assistance device estimates rear lane lines to adjust steering angles away from passing vehicles.
Detects prevailing traffic hand using radar tracking to tailor adaptive cruise control acceleration surge functions.
An autonomous vehicle system predicts traffic participant behavior to calculate merge probabilities for optimal maneuver selection.
An object detection apparatus derives a reliability level by statistically processing scores from multiple observation timings.
A lane change controller assesses road conditions using GPS and sensor data to determine feasibility for automated maneuvers.