Anti-Collision Systems TRIZ Cases

Processor calculates distance between current vehicle driving parameters and ideal driving region in N-dimensional space to guide driver adjustments.

A driving teaching device uses visual attraction to guide driver attention toward safety confirmation objects.

An off-board vehicle scanner identifies trailer position and orientation to guide a docking controller along a collision-free path, reducing onboard complexity.

A lane departure warning device estimates vehicle steering amount using yaw rate and lateral G data to determine departure possibility.

A vehicle obstruction warning system compares sensor-detected clearance data with stored vehicle dimensions to generate collision alerts.

A central unit determines travel time by comparing timestamped position data from mobile user terminals across cellular networks.

Segmented control applies steering first then braking, reducing driver countersteering and improving evasive maneuver success rates.

Rear-facing sensors detect trailing vehicle proximity to activate segmented brake lights, resolving collision risks from obscured motion states.

Infrared camera extracts high-intensity areas and assesses lower area symmetry to identify pedestrians.

A traveling support device provides vibration and apparent motion stimuli to a vehicle occupant based on detected awakening levels.

Integrates lateral and longitudinal planning to evaluate safe gaps, resolving collision avoidance trade-offs during dynamic maneuvers.

Active brake fraction function in cross-traffic alert systems automatically brakes vehicles to a standstill before traffic paths.

An information transfer device acquires driving status data from other vehicles to support driver awareness and control system optimization.

Electronic control unit provides braking and steering signals to specific wheels during collision risk.

Sensor fusion tracks vehicle and object paths to detect overlaps, triggering dynamic route adjustments that prevent collisions with vulnerable road users.

A monitoring system tracks aircraft kinematic motion using position, velocity, and acceleration data to predict potential runway incursions.

A host vehicle detects distracted proximate vehicles by comparing current kinematic data against estimated behavioral baselines.

A communications scenario determination method selects neighboring elements to enable direct vehicle-to-vehicle messaging.

Multiplexing logical channels on one physical link enables value-added services without adding hardware complexity or compromising safety reliability.

A lane change control arrangement adjusts host vehicle velocity to expand sensor detectable zones for adjacent traffic.

Segmenting camera images to define a clear path reduces computational burden and equipment complexity in autonomous driving systems.

Two-phase spatial clustering removes false positives from lane marking data, improving localization accuracy without additional sensors.

Continuous imaging analysis detects habitual tailgaters to reduce driver observation burden and prevent accidents on narrow roads.

A travel route generation system predicts future positions of peripheral vehicles to establish safe target spaces during lane changes.

A server detects blind spot regions from external cameras and notifies approaching vehicles, resolving safety hazards without expensive on-board sensors.

A travel control apparatus detects driver distraction and switches to automatic mode.

Automatically distributes vehicle event data among occupants to adjust tracking components based on passenger perspective.

Wireless communication enables vehicles to exchange and filter optimal safety maneuvers before execution.

A driving assistance device suppresses collision warnings when route intersections occur within parking lot environments.

A travel control device divides lateral detection ranges into angle areas to detect obstacles and adjust warning thresholds.

A vehicle traveling control system adjusts passing speed using map data and signal detection to manage intersection approach.

A vehicle alarm system adjusts alert intensity based on distance to stopped vehicles ahead.

Segmenting obstacles into continuous types reduces processing load while maintaining collision avoidance capability through selective steering control.

Host vehicle controller uses V2V safe-zones to suppress false alarms for stationary objects, improving detection reliability.

Information presenting apparatus requests and detects driver response actions to verify manual driving readiness.

A drive assist apparatus creates a scheduled traveling route using map information and sensors to control vehicle movement through tollgates.

Alert ECU filters intersection geometry and traffic signals to suppress warnings for non-colliding vehicles, reducing driver annoyance.

A quadratic program adjusts polyline node coordinates to generate smooth vehicle trajectories that avoid detected obstacles.

Detects traffic lights using phase-shifted reference signals synchronized with AC power cycles to extract luminance variations from captured images.

Primary nodes collect and prioritize driving messages from secondary vehicles, filtering packets by urgency to resolve dead corner obstructions.

A stationary warning system transmits multi-channel radio alerts to moving objects approaching protected traffic zones.

A mine management system estimates unmanned vehicle ranges and manned vehicle positions to derive dynamic collision risk levels.

Alarm control unit extends warning signals after automatic braking ends, preventing collisions when creep torque moves the vehicle.

A lane change control system determines vehicle priority using accessibility metrics to coordinate merging maneuvers.

A driving assistance device adjusts a predetermined range width based on detected three-dimensional objects to establish earlier collision avoidance timing.

Automated driving system adjusts host vehicle position to minimize time spent in adjacent lane blind spots.

An image generation section manipulates live-action objects by classifying captured images into distance-based layers.

Positioned lights emit signals into the intersection area, resolving blind spot perception issues for drivers turning off main roads.

A vehicle driving support control apparatus estimates driver visual range to trigger notifications or automatic braking only when necessary.

A travel control apparatus adjusts driving state to prevent collisions with objects on the roadway ahead.