Anti-Collision Systems TRIZ Cases

Wireless anchor scheduling manages signal transmission to enable precise location determination while reducing interference from continuous tracking.

Guard antenna signals differentiate false debris from valid threats, reducing unnecessary safety activations.

Automated side view camera activation reduces driver distraction by displaying feeds only when turn signals or speed indicate a lane change.

Traffic information apparatus processes sensor data from connected cars to identify poor visibility sections and transmit driver assistance alerts.

Dual-height radar sensors detect obstacles at distinct elevations to identify vehicle types on mining haulage vehicles.

A vehicle lane change assist device uses turn signal lever hold duration to distinguish driver intent between manual steering and automated assistance.

A risk map generator adjusts lateral range based on obstacle speed to reflect turning likelihood.

A vehicle hazard warning system tracks driver response times to adjust warning timing and modality based on individual performance.

A driver assistance system processes most probable travel paths to generate timely collision warnings for vehicle operators.

A vehicle warning system uses ultra-wideband beacons and tags to track vulnerable road user locations.

Segmenting environmental context guides target recognition, resolving accuracy drops from lighting changes.

A video-based system detects vehicles in exclusion zones using background subtraction and pixel classification.

A communication device receiver processes synthesis messages containing multi-vehicle data for mapping generation.

A parking assistance system suppresses false space outputs using sensor feedback.

A radar sensor mounted on the side mirror of an agricultural machine detects vehicles approaching from behind.

A driving assistance apparatus dynamically adjusts a warning area size based on vehicle turn status using radar and camera sensors.

A warning device calculates crossing time and adjusts alert thresholds based on vehicle speed and intersection distance.

Monochrome camera captures road markings using spectral segmentation to discriminate colors.

A driving control apparatus adjusts detection conditions to extract relevant events and create precise driving plans.

A driver assistance system receives section-specific adjustment information via vehicle-to-infrastructure communication to update environmental data.

Dynamic constant distance gap adjustment resolves fuel efficiency versus lane change capability contradictions during automated maneuvers.

A vehicle image generating apparatus superimposes a host vehicle frame on a vicinity view to enable clear object recognition.

A dump truck uses object detection to determine collision risks and triggers damage reduction processes.

A vehicle-mounted device segments stationary objects to estimate intersecting road edges using millimeter-wave radar and camera data.

A vehicle-to-vehicle communication device manages connections between subject, preceding, and follower vehicles to enable real-time assessment of inter-vehicle distances.

A vehicle controller predicts target object trajectories using fused sensor data and learning tables to adjust velocity and avoid collisions.

A mobile display unit connects wirelessly to a vehicle, providing sensor data and orientation aids for external driver control during complex parking maneuvers.

A vehicle control device detects center lines and oncoming vehicles to derive collision predicted times.

A vehicle stop support system sets allowable lateral acceleration based on driver abnormality to identify optimal emergency stop points.

A vehicle obstacle notification apparatus uses camera image data to detect environmental noise elements and dynamically adjusts detection thresholds.

A vehicle audio device directs position-specific warning signals through localized loudspeakers to create a three-dimensional listening experience.

An in-trail opportunity window estimator calculates safe altitude change windows using real-time aircraft position and velocity data.

Analyzing angle variations between left and right lane lines and horizontal axes in single frames to reduce detection delay.

A direction discrimination device weights feature information from segmented pedestrian image portions to determine orientation accurately.

Radar detection stations monitor tollway egress points, preventing fatalities by alerting law enforcement to wrong-way drivers.

A route prediction device estimates object trajectories using collision avoidance models and risk calculations.

A platoon controller calculates service brake application percentage based on lead vehicle stopping distance signals.

A programmable logic controller manages a light-emitting fixture to convey visual warnings via letters or symbols to adjacent drivers.

Pneumatic hoses replace rigid sleds to maintain positioning stability without blocking evasive maneuvers during near-collision tests.

Signal processing system determines occluded areas based on sensor data to trigger targeted hazard warnings, reducing unnecessary V2X transmissions.

Relocating cameras to obstacles via wireless links provides optimal driver views while reducing vehicle cabling complexity.

A vehicle object recognition device calculates posterior confidence to associate provisional clusters with tracking targets across multiple measurement cycles.

A pedestrian prediction system uses mixture density networks to determine exit points and path planning modules for trajectory estimation.

A control device determines a stop position before blind sections to check opposite lane clearance using surroundings sensor data.

A lane-marking crossing warning system adjusts an imaginary sensor line position when a vehicle enters a curve to prevent false alarms.

A parking assistance device detects vehicle position and inclination angle to control movement during automated parking maneuvers.

A windshield display projects vehicle vision information to shift driver focus toward detected hazards.

A periphery monitoring apparatus superimposes guide markers onto vehicle images to follow road surface roughness states.