A vehicle performance control device records position and parameters to impose location-based speed restrictions.
A road surface profiler performance measuring instrument simulates virtual road conditions using a travelling unit and height adjustment mechanism.
A cruise control system adjusts braking overspeed thresholds based on vehicle gross weight and road inclination to prevent excessive speed.
Wireless monitoring detects threats, enabling remote vehicle relocation to avoid unauthorized access risks.
Complexity module determines intersection navigation difficulty to adjust vehicle steering and braking parameters.
Driving controller transitions host vehicle automation level based on rearward vehicle movement detection to prepare for emergency vehicle passage.
A vehicle control apparatus dynamically adjusts automation level thresholds based on road geometry to manage preceding vehicle behavior.
Segmenting trajectory data into sequential controller area network messages enables efficient transmission to the electronic control unit.
A driving supporter adjusts inhibition thresholds based on road surface conditions to align system responses with driver intent.
A controller calculates deceleration commands based on passenger status to adjust vehicle velocity and suspension dampers.
A longitudinal planning system determines target acceleration by comparing vehicle distance against critical thresholds derived from leader states.
A collision avoidance control system determines travel and return safety detection periods alongside lane change virtual action lines to manage vehicle positioning.
Adjusts polynomial curve coefficients based on obstacle position data to resolve safety risks from insufficient obstacle avoidance in unmanned vehicles.
A driver assistance system aggregates object risk values into quadrant risks to control vehicle actuators.
LiDAR detection zones identify first and second preceding vehicles, enabling the controller to adjust speed based on their travel information.
A vehicle traveling control device adjusts deceleration gains based on lane detection evaluation results during curve entry.
A vehicle processor tracks driving inputs to match predefined rules and updates settings before reaching a location.
An adaptive cruise control system adjusts following gap parameters based on relative velocity and traffic conditions.
A yielding action assistance system guides vehicles to safe zones using dynamic target zone determination and drive force control.
A horizon-stabilized lateral control system determines steering interventions using geometric tangent points and sensor data.
Regions of interest partitioned by steering angle improve collision risk estimation accuracy on curved paths.
A vehicle control system switches between driver assistance and automatic driving modes based on sensor data quality.
Perception system detects traffic officers and signal devices using LIDAR and image sensors, treating unrecognized signals as stop commands.
Navigation system predicts hydroplaning risk using real-time and historical data to generate proactive lane-level routing instructions.
A determination unit detects alarm sound output device abnormalities in autonomous vehicles to trigger safety assurance processes.
A vehicle obstacle detection system adjusts camera and laser scanner fields of view based on speed to improve response time.
Remote controller adjusts vehicle speed based on sensor-detected object proximity for safe manual navigation.
A trajectory-prediction module modifies road agent paths to eliminate visual overlap with objects on the driver display.
A vehicle control device merges multiple operating systems into one controller to share hardware resources and display image information on a single touch screen.
A driver assistance system plans movement by determining invariantly safe future states of the motor vehicle and road users.
A vehicle warning system adapts alert timing by accumulating points based on driving complexity and driver feedback.
A controller determines a short term driving tendency index from accelerator pedal position and vehicle speed to adjust engine torque maps.
A vehicle computer identifies multiple lane positions in transition zones and communicates availability to drivers.
A host vehicle controller adjusts following distance to mitigate rear-end collision risks.
A vehicle speed control module adjusts power source load to maintain constant velocity during road grade transitions.
A vehicle detection system acquires external environment information to identify material accumulation states.
A vehicle selection system determines individual incentive price ranges to maximize electric vehicle participation in grid events.
A driving assist device decelerates the own vehicle using predetermined braking force when preceding-vehicle following is interrupted.
Travel control section adjusts host vehicle velocity to match adjacent lane traffic, resolving accuracy trade-offs during lane change maneuvers.
Automatic cruise control system activates a predefined slippery road driving mode to adjust vehicle speed and acceleration limits.
A vehicle control apparatus adjusts traveling assist levels based on destination settings.
A vehicle hitch assistance system derives a backing path to align the hitch ball with the trailer coupler using automated steering control.
Automated vehicle interface executes high-probability actions while providing separate abort controls.
Dynamic threshold adjustment reduces false alarms from sensor adhesion while maintaining collision avoidance reliability.
A vehicle controller adjusts sideslip and yaw thresholds to optimize lateral movement during evasive maneuvers.
Dynamic torque and brake control adjusts slip thresholds to resolve the contradiction between initiating motion and maintaining traction.
An automated vehicle guides adjacent road users to yield through precise velocity and lateral positioning maneuvers.
A mobile body with omnidirectional drive wheels uses rotational velocity data to dynamically adjust its surrounding object detection range.
A sleepiness estimating device acquires biometric and five-sense auxiliary information to improve estimation accuracy.