Driver Input Parameters TRIZ Cases

A vehicle control system allocates deceleration braking force to road wheels during turns to reduce roll behavior.

System prevents lane departure and object contact during driver abnormalities by constraining steering response without external sensors.

A backbone model with encoder and decoder neural networks generates personalized speed profiles by aligning road and vehicle characteristics.

A vehicle control system dynamically distributes deceleration force between the brake device and power plant based on real-time state information.

A vehicle behavior control apparatus calculates normative yaw rates to determine stability.

A control unit monitors steering operations to switch driving states between autonomous and manual modes.

An electronic control unit manages vehicle control transitions between autonomous and manual modes using networked communication.

A speed governor regulates engine torque via pedal depression mapping to stabilize RPM during vehicle take-off.

A manipulator assembly with automated latching tracks relative platform motion to align cargo containers during offshore supply operations.

A vehicle display device correlates content with acceleration data to simulate motion, reducing passenger motion sickness.

A redundant safety monitoring system verifies driver presence and vehicle health before initiating autonomous to manual driving mode transitions.

A vehicle control system adjusts target acceleration using distinct change rates for normal and sport modes to match driver intent.

A driving mode switching unit controls automatic activation based on driver experience values.

A control unit deactivates the interaxle lock during braking to enable independent axle operation.

A holographic human-machine interface projects digital images between the windshield and seat to control vehicle comfort equipment.

A driver assistance system dynamically adjusts function levels based on detected concentration.

Coordinating steering assist torque with suspension damping force through mutual state references improves ride comfort by reducing driver discomfort.

A driving assist apparatus applies braking force to mitigate secondary collision damage when a drowsy driver is detected.

A parking assist apparatus monitors driver operations to automatically terminate control when requested actions are not performed within a set period.

A pedal cruise control system detects throttle stability and vehicle speed to enter automatic mode without manual button operation.

Travel control unit limits driving force when no steering wheel contact exists to balance safety with user intent.

Disembarking guidance unit prompts occupants to exit at a safe position before the vehicle enters the parking frame.

Computer detects vehicle impacts and transitions to manual mode, suppressing autonomous actuation of potentially damaged components until user authorization.

A probabilistic lane-change system filters merging gaps and calculates driver yield likelihood to guide autonomous vehicle motion planning.

A driving support device plots longitudinal and lateral acceleration pairs on a coordinate plane to generate geometric shapes for parameter setting.

An automatic speed adjustment mechanism reduces tipping risks by modifying vehicle velocity through braking or acceleration to match a desired lean angle.

Driving control apparatus maintains vehicle speed and inter-vehicle distance during automated lane changes to road shoulder.

A method copies vehicle supervision data to a driver's portable communication device screen during automated driving mode.

A vehicle control system selects sport mode target acceleration characteristics to enhance accelerating performance.

A translation module adapts vehicle control data from one car to another, configuring actuators to match specific driver preferences.

Segmenting the launch mode into four stages manages engine torque and speed variations, ensuring stable take-up control during low-speed vehicle operation.

Target recognition apparatus estimates object types using detection and estimating units to enable vehicle control operations.

A driving instruction module monitors driver behavior via sensors and issues corrective instructions to maintain manual control skills.

A vehicle control device determines whether to initiate automated following based on user presence or instructions.

Sensor and control device analyzes brake actuation travel, speed, and acceleration to establish driver-characterizing braking style information.

A vehicle control apparatus transitions steering requirements upon detecting driver acceleration or deceleration during automated lane changes.

A vehicle control device switches braking force from hydraulic systems to electric parking brakes during hold periods.

A vehicle controller compares control signals from manual and remote driving modes to ensure smooth transitions between operational states.

A trajectory monitoring method calculates theoretical speed deviation between drive wheels to detect slippage.

A control unit regulates engine torque to restore speed during freewheel exit.

A vehicle control apparatus calculates tire forces using coordinate transformation with stiffness normalization to determine wheel components from center of gravity targets.

An engine start controller manages clutch engagement and disengagement to initiate engine rotation during hybrid vehicle deceleration events.

A road friction estimation apparatus uses recursive least squares to calculate a lookup value from vehicle parameters.

A proportional parking brake system regulates vehicle speed through hydraulic pressure control and coordinated transmission management.

Electronic differential limiting control adjusts torque distribution between front and rear wheels based on rotational speed differences.

Dynamic driving behavior analysis replaces rigid location or time triggers, reducing false positive challenges.