A control system computes an overall lane change likelihood by combining lateral movement analysis with instantaneous traffic situation data.
A vehicle control system selects emergency trajectories from reference patterns mimicking human driving behavior to guide the car during imminent collisions.
A motorized actuator extends the blind spot sensor laterally to clear the vehicle corner.
Distributed communication devices transmit hazard signals between vehicles to provide persistent visual warnings.
A control unit calculates stimulus amounts and non-acclimation degrees to predict driver sleepiness levels.
Reflective surfaces relay obstructed views to sensors, enabling timely maneuvers in congested urban blind intersections.
A hot spot information generator processes navigation and surface data to calculate distances to airport hazards.
An overhead view generation system uses vehicle cameras to display adjacent traffic lanes.
A vehicle electronic controller generates a traveling track using binarized risk maps and center line thinning processes.
A transmission timing controller inserts temporary waiting periods between ultrasonic wave cycles to differentiate reflection signals from interfering crosstalk waves.
A vehicle controller detects multiple turn lane scenarios to temporarily suppress blind spot warnings.
A driving controller holds a target position during lane changes to manage acceleration and steering based on recognizer data.
Electronic controller estimates traffic participant orientation using sensor data and pre-computed map lookups.
A collision avoidance assist device calculates time to collision and suppresses braking release during deceleration.
Detailed map segments resolve radar detection ambiguity, enabling accurate path prediction and reducing collision risks.
A drift assessment device selects between image recognition and turn information detection based on vehicle speed thresholds.
A vehicle-to-X communication unit selects between two directional antennas to emit signals.
A driver assistance system actuates brakes when a target vehicle leaves the detected lane.
A training evaluation device propagates road user signs through an artificial neural network to generate vehicle control commands.
A multi-perspective camera system evaluates collision objects using relative position parameters to provide timely driver warnings.
A display control device manages turn signal and winker indicator activation timing to inform vehicle occupants of system readiness.
A communication system coordinates overtaking maneuvers between commercial vehicles using transceivers to exchange driving data.
Electronic control unit adjusts target area size based on object risk levels to optimize driving support activation.
Multi-channel microphones track external acoustic signals to determine vehicle angles, resolving safety risks from impaired driver hearing.
An obstacle detecting apparatus arranges unconfirmed bodies as candidates to predict behavior in blocked areas.
Pivoting a transmitter platform resolves complexity in angle determination, enabling high-precision obstacle detection without cumbersome integrated mirrors.
User equipment receives location and timing indications from nearby vehicles to identify radar interference components in the frequency spectrum.
Multi-camera detection systems replace side mirrors to reduce drag while processing external images to identify potential hazards in real-time.
A vehicle warning device predicts target object attributes and behaviors using sensor data to generate timely collision alerts for the driver.
A travel control device reduces the distance to a target route turning point based on lane marker margin.
A vehicle control apparatus adjusts a target route to extend separation distance from detected obstacles.
A vehicle control system pairs road boundary trajectories to determine sampling points for lane identification.
Smartphones determine vehicle presence via sensor fusion to enable autonomous collision avoidance without continuous GPS.
A vehicle stop support system detects driver physical abnormalities and selects safe stopping locations based on estimated arrival times.
A travel control plan generating system stratifies vehicle management into upper and lower level plans to coordinate with peripheral traffic.
A collision avoidance apparatus predicts mobile body positions at future time points using inter-vehicle information transmission.
A vehicle control apparatus calculates and updates an offset between detected targets on a preceding vehicle to maintain accurate inter-vehicle distance.
Transforming lane boundaries and objects into a lane-centered coordinate system reduces computational load by simplifying relative movement expressions.
A vehicle head-up display adjusts object marker emphasis based on target distance to reduce visual confusion.
A vehicle exterior environment recognition device restricts predicted traveling paths using speed and steering data to identify traffic indicators.
Host vehicle processes remote dynamic state codes to identify control actions, preventing collisions in converging paths.
Ultrasonic sensors measure overhead clearance relative to vehicle height, preventing collisions with bridges.
A vehicle radar segments its monitoring area into distinct detection zones to classify lateral objects using spatial signal analysis.
A vehicle drive assist system initiates collision avoidance using camera detection before radar confirmation.
A vehicle display system outputs camera images and GPS icons to visualize surroundings.
Storing agent trajectories in a buffer applies reaction delays, resolving the trade-off between simulation realism and computational complexity.
A safe-to-proceed controller manages host-vehicle movement at intersections using real-time sensor data and V2X communications.
Selective wheel braking mitigates door-side impacts while preserving passenger egress space during accidents.