Segmenting steering and braking algorithms reduces computer processing capacity while maintaining reliable collision detection capability for host vehicles.
Multi-wavelength LIDAR transmits laser light to classify vehicles and pedestrians by size, speed, and material reflectance for reliable obstacle detection.
A driver assistance system stores static entity data in non-volatile memory during normal conditions for later retrieval.
A vehicle platoon system appoints a new leader to maintain communication responsibility.
A command calculation unit adjusts drive commands based on road gradient and vertical acceleration limits.
A recognition support system adjusts notification ranges based on driver turning direction to prioritize relevant objects.
A detector assembly with perpendicular laser receiving units enables precise distance measurement using trigonometric relationships.
A vehicle display system classifies detected objects as visible or invisible to segment information presentation.
A learned model corrects observation correlations across spatial grids to estimate object presence in unobserved areas.
Object determination section calculates circle arcs from sonar distances and intersects them with camera azimuth regions to locate objects.
Driving support apparatus coordinates autonomous and communicated data to stabilize collision warnings.
A vehicle detection device adjusts traveling speed assessment thresholds to differentiate adjacent vehicles from rainwater reflections.
A lane departure warning system selects image sources based on environmental brightness and weather status to reduce erroneous judgments.
A roadside unit detects vehicle size and transmits warning data to drivers.
Automated ground system evaluates flight paths against weather and airspace data to generate incursion alerts.
Cooperative adaptive cruise control system selects target vehicles using V2V communications and sensor data to determine driving speed.
A vehicle control apparatus prioritizes electric power to automatic driving equipment by suppressing supply to other electrical loads.
A V2V identification apparatus fuses radar distance and GPS position data to determine vehicle locations.
A vehicle warning system uses wireless communication to detect host vehicle travel paths and generate alerts for potential trailer contact zones.
A self-driving vehicle adjusts following distance using hazard warning lights from the car behind.
A cloud computing system detects roadway hazards using embedded vehicle sensors and initiates targeted digital alerts for nearby traffic.
Differential braking changes vehicle trajectory to prevent collisions without compromising stability or affecting following traffic.
Traveling control apparatus estimates following vehicle intention using relative behavior data from preceding and self vehicles.
A processing unit estimates future lane line data using inertial measurement unit readings and historical location information.
A collision determination apparatus uses separate filters to predict target paths and execute vehicle control actions.
A driving control device acquires a driver type to select an automated driving mode matching the user's skill level.
A dynamic path estimation methodology selects yaw-rate or sensor fusion models based on object distance to determine vehicle trajectory.
Oracle unit evaluates collision-free paths to guide generator training, resolving accuracy versus complexity trade-offs in automated driving.
Autonomous vehicles exchange localized hazard data to generate aggregated road segment indications, resolving sensor limitations in adverse weather.
Classifies road objects by comparing base point height against roadway elevation, resolving ambiguity between drivable structures and static obstacles.
Autonomous vehicle detects stuck conditions using sensor data to request revised navigation paths from an assistance center.
Automated optical inspection analyzes dent size and shape to calculate precise repair time and cost, eliminating inconsistent manual estimates.
A collision determination device calculates shortest arrival times for host vehicle route candidates to assess collision possibility.
Fuses external hazard signals with internal driver behavior metrics to resolve accuracy versus complexity trade-offs in warning systems.
A travel assistance device predicts vehicle and object positions to set dynamic avoidance ranges.
A dynamic control system actuates modulated lighting and sound signals based on real-time environmental data.
A vehicle ultrasonic detection system adjusts operation modes based on speed to reduce false alarms from raindrops.
Horizontal edge extraction narrows the search area before template matching, reducing processing time while maintaining detection accuracy.
A vehicle control apparatus reduces lateral displacement by adjusting steering and braking parameters based on target distance.
In-vehicle computing system calculates driver gaze and obstacle trajectories to generate prioritized alerts only for unseen hazards.
A truncated animal appearance template detects body and limb features in vehicle camera images to initiate safety responses.
Image sensor segments rear-view fields into regions of interest to identify flashing direction lights, resolving blind spot detection gaps.