A vehicle control ECU adjusts driving force command increase rates based on road slope to moderate acceleration during uphill starts.
Sensor fusion creates 3D maps to correct wide-angle distortion and improve distance judgment accuracy.
A vehicle controller selects cooperating vehicles based on relative speed to manage inter-vehicle distance and traffic volume across multiple lanes.
An integrated sensor temperature detector measures transceiver heat to adjust detection thresholds, correcting accuracy loss from engine exhaust interference.
A side-mounted camera vision system detects and tracks objects near a parked vehicle to limit door opening.
A vehicle control apparatus manages velocity during automated-to-manual driving transitions using dynamic deceleration selection.
A configurable ultrasonic proximity sensor adjusts signal frequency and power via a control unit to match obstacle detection requirements.
A vehicle camera adjusts its field of view orientation based on driving state information to optimize detection coverage.
A collision warning system uses segmented cones to estimate future states and determine collision probability.
First vehicle relays oncoming traffic data to enable safe overtaking maneuvers despite visual obstructions.
A sensor system detects moving obstacles during autonomous parking using camera and ultrasonic data.
A lane departure warning device limits alerts using camera and navigation data.
A vehicle speed estimation method applies low-pass filtering to distance data while monitoring transverse position for lane changes.
An inter-vehicle communication device dynamically switches between standby and connecting states to optimize wireless resource utilization.
A predictive model estimates vehicle sideslip to modify motion planning data for accurate autonomous turning.
A hydraulic selective connector adjusts brake circuit configurations based on vehicle speed to enable single-wheel steering at low speeds.
Autonomous vehicles coordinate speed adjustments via LIDAR and RADAR to create gaps for merging, resolving the trade-off between safety and traffic efficiency.
A sensor evaluation device detects specific recognition events between mounted sensors to log performance data.
Segmented spatial-temporal vehicle selection reduces computing load while maintaining collision avoidance accuracy during lane changes.
A parking support device calculates routes by adjusting obstacle distance margins based on sensor reliability.
A driver assistance system conveys detection probability and positional accuracy through graphic output measures like color, brightness, and line width.
A server mediates position data between mobile and movable devices to detect approaching objects, reducing accident risk at blind intersections.
A conservative anti-collision region acquires omnidirectional environmental data to predict obstacle behavior and control vehicle movement.
Classifying image regions by confidence values improves lane detection precision without increasing system complexity.
Pulsed auxiliary reaction forces alert drivers to reduced headway distances before principal resistance engages, resolving awareness gaps.
A vehicle communication apparatus transmits sensor data to nearby devices based on proximity and occlusion predictions.
Statistical feedback compares estimated and observed bearing angles to correct RADAR errors, improving lane assignment accuracy for collision avoidance.
A collision determination unit generates combined targets from radar and image sensors to assess vehicle-object proximity.
Flash LiDAR replaces ultrasonic sensors to resolve diffused reflection issues, enabling accurate detection of small cones and moving pedestrians.
An object detection device analyzes reflected light signal waveforms to determine object positions and arrangement states with high precision.
A lane change assistance system requiring continuous control element actuation to maintain driver intent during automated maneuver initiation.
Image sensor system estimates object distance using visible portion dimensions when the target exceeds the field of view.
Pedestrian occupancy maps use probability distributions to compactly represent predicted future locations.
Alert controller adjusts notifications based on vehicle speed and driver state to reduce unnecessary alerts during low-speed maneuvers.
A vehicular wireless communication apparatus selectively transmits necessary position information items to reduce data volume.
A driving assistant device calculates time to collision with road edges and objects to set dynamic risk levels for vehicle control.
Automated video system detects vehicles parked beyond designated boundaries using image processing algorithms.
A batch generator system aggregates asynchronous sensor outputs to optimize computing resource utilization.
A magnetic field generator produces low frequency oscillating fields to determine relative speed between moving objects.
A vehicle safety system determines relative lane assignment using road mapping curvature data.
A vehicle collision avoidance device dynamically adjusts its detection region width based on travel state to optimize object sensing.
Roadside equipment estimates vehicle paths and communicates data to onboard systems, reducing intersection collision risks.
A vehicle information projecting system overlays virtual images of rear-side caution and lane change data onto the windshield for driver awareness.
A parking assistance device specifies entrance-side ground object end portions to set a rectangular parking frame extending from the stall corner.
A vehicle control apparatus calculates driver avoidance operation timing distributions to set warning output parameters.
Evaluator reduces position influence weight during lane change indication periods to improve driver confidence in evaluation results.
A vehicle sound control device outputs distinct acoustic signals based on approaching object type to enhance driver situational awareness.
Adaptive traffic assistance system predicts future risks and adjusts notifications based on driver reaction.
A vehicle obstacle detection system combines radio wave reception with external sensors to identify objects outside the driver's visual field.