A mining machine uses a front-mounted non-contact sensor to detect objects and measure wall distance for precise navigation.
A driving support apparatus calculates common lane boundary parameters to estimate vehicle position.
Lidar-assisted detection identifies visibility-reducing media through elongated reflected signals and multiple low-intensity returns.
A method determines a driver's reference class by comparing observed speed against predetermined profiles to enable personalized assistance.
A vehicle driving assistance apparatus determines passing intent using lateral distance and relative speed metrics.
Driving force control system segments friction estimation by driving state to expand accuracy range, reducing mechanical losses and improving fuel efficiency.
On-board device tracks driving time and vehicle heading variations to predict driver drowsiness.
A deep learning road surface model identifies terrain types using vehicle signals to set optimal control modes.
A motorcycle brake controller dynamically distributes braking force between front and rear wheels based on travel posture.
A coasting guide control system detects peripheral vehicle average speed to calculate a dynamic target speed for accurate vehicle management.
A vehicle control system restricts autonomous operation to suitable road environments using sensor data and map information.
Wheel torque actuators apply differential force to steer a vehicle, maintaining control when primary mechanisms fail and eliminating limp-home modes.
A vehicle control apparatus adjusts inter-vehicle distance based on adjacent driver skill levels.
A road friction estimation system fuses temperature and precipitation data with vehicle dynamics to quantify tire grip levels.
A vehicle launch control system uses radar and acoustic sensors to detect terrain characteristics ahead of the wheels before movement begins.
Hysteresis-enabled cruise control adjusts vehicle speed using terrain profiles to maintain optimal engine RPMs.
A lateral control apparatus filters signals to maintain stable vehicle following in platoons.
A differential updating system generates optimal data combinations for vehicle controllers.
A control unit evaluates static and dynamic vehicle parameters to adapt driving behavior.
Dynamic threshold adjustment based on vehicle position resolves accuracy trade-offs in consciousness-degraded state detection.
Radar sensors detect stationary objects to calculate vehicle velocity, correcting measurement precision errors on low-friction surfaces.
A vehicle control system applies a jerk pattern to motion during automated driving handover.
A lane keeping control system autonomously activates or deactivates steering assistance based on detected driver drowsiness levels.
A driving assistance device calculates predicted vehicle speed at a target position to manage deceleration control logic.
A vehicle control system analyzes sensor data to identify road curves and selectively allow oversteer conditions for enhanced driving performance.
Display control unit shows lane change starting and finishing positions to resolve driver awkwardness from unclear heading information.
A motor vehicle control system adjusts acceleration dynamics using sensor data to execute automated driving maneuvers.
A processor adjusts lateral lane position to maintain safe distance from adjacent vehicles.
A vehicle assistance system influences occupant sleep states to maintain minimum takeover capability during autonomous driving.
A processing system compares fuzziness values across sensor types to assign identical object attributes.
A vehicle collision avoidance system merges radar and ultrasonic sensor data to detect approaching objects behind the vehicle.
A driving assistance system displays geo-fences with tolerance zones on a map to guide vehicle maneuvers.
Restart control unit disables obstacle detection during user-initiated resumption to prevent false stops.
A vehicle travel control device calculates lateral offset to adjust the control target point when lane lines are not recognizable.
Parallel and failover autonomy systems detect undetected failures in main control units to prevent collisions.
A driver competency engine evaluates operator identity and vehicle operation to build personalized profiles.
A cruise control system monitors school bus status to guide vehicle stopping.