Anti-Collision Systems TRIZ Cases

Multiple monitoring devices determine position and orientation of large objects to broadcast reserved spatial volumes for collision avoidance.

A utility vehicle transfer system manages handover between driver and autonomous management.

Segmenting content into portions enables peer-to-peer distribution via local Wi-Fi, reducing cellular carrier costs while maintaining reliability.

Deformable bumper ramp guides vehicle wheels upward to support weight, absorbing impact energy and preventing damage to the subject vehicle and test platform.

A detection system fuses appearance, geometry, and motion data to track vehicle trajectories across image frames.

Active signal transmission combined with passive reception extends detection range and reaction time, reducing uncertainty in collision warnings.

Aircraft processing unit determines collision risk using ownship speed and ground traffic position data.

A detection device measures lateral distance variations to identify assistance-supported driving states in external motor vehicles.

A radar target detection apparatus counts reflection points and extracts parallel-running pairs to identify single large vehicles.

A lane change control apparatus displays system status information to the driver through a dedicated interface screen.

A vehicle alerting system captures traffic images and detects driver gaze direction to trigger alarms when attention lapses during sign changes.

A collision warning system projects a variable display distance onto the driving surface to alert following drivers of potential impacts.

A congestion-based adaptive cruise control system positions vehicles between front and rear traffic using radar distance data.

A highway detection system classifies road type using vehicle speed and lateral distance data from onboard sensors.

Multi-obstacle prediction lowers collision probability by assessing trajectory interference in complex traffic.

A driver assistance system calculates first and second evasion trajectories to steer a vehicle around obstacles.

Lane change assist visualization system computes acceleration needs and displays options to reduce driver effort during complex maneuvers.

A tracking control apparatus detects preceding vehicle turn signals to maintain or release adaptive cruise functions.

A vehicle communication module requests driver input to resolve ambiguous environmental objects detected by sensors.

A vehicle system uses radar and vision sensors to detect movement of potential cut-in vehicles.

A driving assist apparatus applies offset values to lane deviation data during lane changes.

A vehicle control system selects optimal collision paths to minimize damage severity.

A vehicle object warning system uses sensors and a controller to generate distinct auditory alerts for detected objects.

Controller determines object density from air-movement motion characteristics to classify targets for automated driving.

A vehicle intersection monitoring system exchanges location and heading data between host and remote vehicles to enable precise collision prediction.

A platooning control system limits vehicle deceleration to a predefined value.

A collision avoidance system filters targets based on heading angle and distance to reduce computational load.

Eye gaze recorder monitors driver awareness to adjust alarm timing, reducing unnecessary interventions while maintaining path prediction accuracy.

Comparing detected object locations with a route atlas resolves AI black-box reliability issues by verifying known infrastructure positions.

Automobile transceivers receive GPS coordinates from emergency vehicles to trigger infotainment signal attenuation.

A parallel running vehicle detecting apparatus adjusts determination conditions based on stored sensor history to identify adjacent vehicles.

Vision system adjusts braking level weighting using preceding vehicle brake light illumination to resolve noisy acceleration data errors.

A vehicle control apparatus adjusts activation region width and timing based on target movement history.

A windshield visual guidance system projects a virtual line synchronized with steering inputs to direct driver gaze toward external objects.

A braking release mechanism dynamically adjusts emergency braking based on real-time travel environment conditions.

Updates occupancy probabilities by blending radar, communication, and map data via Bayesian inference, resolving spatial position inaccuracies from static maps.

A vehicle collision avoidance system fuses radar sensor data with digital map coordinates to identify overpasses and reduce false alerts.

A dual GridTile structure aligns local sensor cells with global environment models to enable direct data integration without coordinate transformation.

A driving support apparatus predicts intersection arrival times for host vehicles and moving objects to enable proactive collision avoidance.

A vehicle camera system determines collision risk using a recursive fitting function applied to image data.

A surround view generation device acquires local and truncated camera views from multiple vehicles in a platoon to stitch a comprehensive visual field.

A driving assistance device modifies detection region position and shape based on vehicle turning state to maintain solid object recognition.

A driving assistance control unit adjusts the collision avoidance activation area based on vehicle curvature radius and steering stability.

A vehicle control system switches automation states to enable lane changes.

A drive assist deceleration unit stops braking when steering input is detected.

A rear lateral side warning apparatus calculates a weighted index from accumulated driving information to determine personalized alert signals.

A mobile computing device generates warning signals from vehicle sensor data and outputs alerts via external networks.

A navigation system processes segmented sensor data to identify lane boundaries and generate an objective map for real-time vehicle guidance.

Selective message propagation reduces network data load and power consumption by targeting only at-risk vehicles.