Radio transmitters define zones to adjust vehicle speeds, resolving the contradiction between high productivity and safety risks in mixed traffic.
Neural network stabilizes long-term lane change predictions through feedback mechanisms, resolving instability in adjacent vehicle behavior forecasting.
A vehicle suspension system matches driver behavior parameters to stored profiles for automatic ride adjustment.
A controller adjusts engine power suppression values using environment sensor data to maintain consistent vehicle operation.
Electronic control system estimates vehicle loss model coefficients to determine precise powertrain commands.
A vehicle driving control device adjusts target lateral acceleration based on lane type to manage speed.
A following space management unit dynamically adjusts vehicle time gaps using real-time traffic and road parameters.
A separation controller adjusts target distance based on adjacent lane vehicles to maintain safe following gaps.
A vehicle control system adjusts engine torque and transmission gear states using forward-looking route data to optimize powertrain performance.
A vehicle control unit adapts semi-automated driving activation states using surroundings sensor data to manage object detection.
A laser sensor calculates defile width to resolve blind spot detection issues in narrow spaces.
A longitudinal driver assistance system notifies drivers of impending speed changes to enable manual refusal before automatic adaptation.
System uses pre-acquired communication information to re-identify lost preceding vehicles, reducing re-identification time when sensors are obstructed.
Kriging models spatial friction relationships using aggregated sensor signals, resolving inaccuracy on unmeasured road sections.
Bayesian inference calculates precipitation probability from wiper status, vehicle jerk, and lateral offset to disable lane assist when sensor accuracy drops.
A lane keeping assist controller transitions between alert and intervention modes based on real-time abnormality detection.
A vehicle information presentation device adjusts vibration output gain based on steering operation amount and gear ratio to enhance tactile feedback.
A vehicle driving assistance apparatus predicts upcoming road conditions to determine automatic driving continuation status.
Control circuit segments failure response into warning, speed reduction, and lane maintenance intervals to mitigate driver risk during system faults.
A driver assistance system calculates a lateral trajectory for lane changes at traffic-lane splits using sensor data and navigation inputs.
An automated vehicle control system generates optimized speed profiles to reduce unnecessary acceleration and deceleration events.
A behavior prediction device sets reference positions along road shapes to calculate distances for trajectory estimation.
Regional velocity thresholds reduce unnecessary pre-collision controls during intentional acceleration while ensuring timely intervention for wrong operations.
A vehicle control method detects longitudinal obstacles using motion parameters to generate compensation torque.
A vehicle group organization method constrains inter-vehicle distance through parameter-based grouping and feedforward control.
Distributing update programs across non-target ECUs reduces memory burden and prevents delays when target devices cannot execute updates.
Set invariance theory calculates safe vehicle states to reduce unnecessary driver interventions while maintaining safety.
A scout vehicle shares its detected trajectory and environmental data with a following car to enable automated control.
A vehicle control system adjusts lateral position to signal lane change intentions to surrounding traffic.
Replacing physical switches with a wireless terminal interface resolves update limitations while maintaining ease of operation.
A processing device determines an emergency stop point based on driving state to ensure safe deceleration.
Hierarchical collision detection calculates risk values from V2X data to resolve real-time speed versus accuracy trade-offs.
A platooning controller checks following vehicle functions via V2X communication to maintain safe formation.
A vehicle controller adjusts clutch torque and brake pressure to maintain target travel speed during autonomous parking maneuvers.
Shutters restrict corner radar sensor fields of view to the front portion, resolving azimuth discrimination issues in standstill situations.
Controller uses vehicle to vehicle hazard data to connect the all wheel drive system before reaching slippery road conditions.
Surroundings sensor systems detect adjacent vehicle movement variables to calculate road friction coefficients for database storage.
Estimating the travel trajectory of a leading vehicle allows adaptive cruise control to reduce unnecessary decelerations and lower fuel consumption.
Forward-facing sensors detect traffic light shifts or vehicle movement, enabling the processor unit to trigger timely alerts that reduce driver reaction time.
Vehicle system predicts sensor unavailability to activate countermeasures, preventing unplanned stops during autonomous driving.