Control Devices TRIZ Cases

Monitors vehicle component failures, shifts processing to healthier units, and uses isolation barriers to protect sensitive hardware.

An ABS control module detects speed, terrain, and other conditions to automatically re-engage braking support and prevent skidding.

A vehicle controller classifies faults by manual relevance, allowing constrained operation instead of unnecessary stops while preserving safety.

A virtual road-scene display adapts to automation level, helping drivers grasp active assistance and needed manual control faster.

While driving, the vehicle self-calibrates sensors, detects drift or failure from calibration ranges, and triggers remedial actions.

Dynamic selection of steering, braking, and drive torque vectoring improves lane-level path tracking while balancing response time and energy use.

Checks trajectory source components and operating limits before motion command generation, filtering faulty paths to protect downstream vehicle control.

Multiple torque vectoring techniques are compared by achievable yaw moment, response time, and energy use to improve autonomous lateral path tracking.

Setpoint-variation feedforward improves motor vehicle kinematic control stability and tracking while avoiding extra noise in the actuating variable.

A CMDP with fuzzy guidance and worst-case tire-road uncertainty modeling enables safer, agile autonomous J-turn maneuvers.

A partially sealed blood pump controller blocks water ingress, vents battery gas, and deactivates exposed contacts until a connector is inserted.

An ECU maintains stable vehicle drift with real-time actuator feedback while preserving driver input and preventing unsafe drift states.

Manual takeover reasons and vehicle context are sent to a server so autonomous driving can learn from obstacle-related safety failures.

Route-based module selection reduces inefficient sensor-actuator exchanges and improves input/output efficiency in autonomous driving control.

A serial-parallel backup computing architecture keeps an automated vehicle on a safe trajectory and brings it to a controlled stop after platform failure.

Discontinuous vehicle-image movement at the lane boundary makes adjacent-lane cut-ins easier to spot while limiting driver distraction.

A loss-scaled Kalman filter dampens sensor outliers and preserves positive-definite uncertainty for stable autonomous vehicle navigation.

When an autonomous drive ECU fails, selected sensors and a backup microcomputer can still generate actuator signals to guide the vehicle to a safe stop.

A compact casing combines chain transmission, differentials, and locking options to distribute torque across multiple heavy-vehicle axles.

Continuous velocity-based steering limits make autonomous vehicle trajectory optimization safer and more computationally efficient.

A sterilizable connector combines power, data, and control links so implantable blood pump units can be powered and programmed safely in sterile areas.

Calibration parameter checks identify moved or inoperative vehicle sensors during driving and trigger remedial actions without manual intervention.

A mode-switching display alerts drivers only when curve speed control ends without cruise activation, reducing confusion and unnecessary pedal input.

Slip-angle-based stiffness correction improves front and rear wheel driving force estimation in four-wheel-drive vehicles, especially during cornering.

Selective hiding of overlapping road user symbols keeps in-vehicle traffic displays clear and stable, reducing driver distraction.