Anti-Collision Systems TRIZ Cases

Wireless categorization manages unknown vehicles in trains, resolving line-of-sight detection limits and enabling safe close formation.

A dual-signaling driving assistance system provides distinct visual feedback states to indicate driver maneuver adequacy during hazardous conditions.

Display controller colors adjacent lane partition lines to indicate lane change permission, resolving ambiguity about permissible maneuvers.

Adjusting time-to-collision parameters based on relative lane position prevents false alarms while maintaining accurate collision detection.

Autonomous driving assistance device tracks user-defined monitoring targets to execute supplementary hazard avoidance procedures.

A wireless network of wildlife warning devices coordinates detection and signaling across multiple roadside units.

Safety system guides vehicle to safe parking area using environmental data when driver state detection indicates inability to operate.

A vehicle outside mirror uses camera image data to calculate object distance and adjust position.

A parking assist control device stops steering actuation during suspension states to manage vehicle positioning without occupant input.

A marking program classifies surrounding vehicles as V2X-equipped or standard to generate adaptive control signals.

Multi-sensor fusion identifies bollard receivers to prevent undercarriage damage while maintaining traffic control flexibility.

Ultrasonic sensors detect approaching objects to activate multi-mode warning signals, preventing door dings on parked vehicles.

Segmented inward mirrors redirect light paths to display blind spot images at actual obstacle positions while maintaining compact vehicle integration.

An autonomous driving control apparatus classifies obstacles as passage acceptable or unacceptable to manage vehicle maneuvers.

A transporter vehicle sets a focused front detection zone to identify high-risk objects and trigger damage reduction processes.

A vehicle control system evaluates multiple trajectories to determine risk values based on physical forces acting on the car.

Acoustic sensors detect sirens beyond visual range while optical cameras track road users, enabling the system to anticipate collisions with emergency vehicles.

Vision-based control system detects trailer position and plans vehicle path to align tow ball while avoiding obstacles during reverse maneuver.

A target detection device corrects sensor reliability based on false detection rates to improve fusion accuracy.

Predictive movement models bridge detection gaps in vehicle sensor systems to maintain continuous object tracking across blind-spots.

Accelerometers and gyroscopes calculate lean angle to dynamically adjust radar orientation, ensuring accurate vehicle detection regardless of motorcycle tilt.

Sensors detect adjacent vehicle positions to define blind spot regions, allowing the host vehicle to avoid travel in those areas.

A travel control device adjusts control gains for specific vehicle positions to improve error reduction precision.

A processing system estimates radiuses of curvature from connected vehicle trajectories to cluster and determine lane IDs.

A vehicle controller adjusts deceleration variables when wheel slip is detected to maintain traction.

Fusing radar returns with wireless receiver data reduces false alarms from untagged obstacles while maintaining high detection reliability.

A vehicle control apparatus calculates following vehicle distance and relative speed to predict collision probability.

A vehicle control apparatus adjusts activation region width based on target stay time in a diagonal determination zone.

Optical detection replaces radar to avoid ground reflections, enabling reliable collision warnings via image processing.

A vision system detects adjacent vehicle positions and lane geometry to predict collision risks without complex sensor arrays.

A collision position predicting device fixes moving vector direction based on road shape to enhance prediction accuracy.

A vehicle-mounted radar system dynamically adjusts its connection range based on object velocity to improve lateral tracking.

A cruise control apparatus validates preceding vehicle trajectories against stationary road features to calculate accurate predicted routes.

Processor-based adaptive radar calculator dynamically adjusts operational parameters using multiple software models to evaluate real-time environmental data.

A driving assistance device adjusts warning issuance criteria based on active steering execution status to minimize unnecessary alerts.

Segmenting radar detection zones with separate thresholds resolves the trade-off between extended range sensitivity and clutter noise suppression.

Overtaking lane control system issues alerts when drivers exceed permitted time in passing lanes.

A lane departure warning apparatus monitors vehicle position change amounts relative to division lines.

Classifies vehicle-to-X messages by calculating overlapping sender and receiver regions derived from sensor data.

A travel control device sets a detection area including a second pedestrian crosswalk to detect moving objects before the subject vehicle reaches the first crossing.

A wireless communication apparatus calculates avoidance control time points for surrounding vehicles to clear paths for emergency responders.

A vehicle control device restricts access to rotating objects by adjusting risk areas based on rotation speed and orientation.

Dynamic radar coverage adjustment reduces multipath interference from nearby obstacles, maintaining high object detection accuracy in cluttered environments.

Dynamic LED patterns resolve information loss for non-drivers by mapping external object parameters to specific cabin light zones.

Real-time detection areas adapt to vehicle state, eliminating dead angles and shortening inter-vehicle distances without excessive deceleration.

An onboard warning system detects absolute acceleration of external objects relative to a ground-fixed coordinate system.

A lane departure warning system calculates trailer lateral offset using hitch angle and width data to generate timely warnings.

A rear-view camera captures images to detect vehicles entering blind spots without adding dedicated hardware.