Anti-Collision Systems TRIZ Cases

A vehicle controller sets a moving virtual area relative to an oncoming vehicle to trigger automatic braking.

Spatialized audio conveys obstacle distance and position to drivers without visual distraction.

A control system calculates a swept area from recorded forward path data to guide steering during reversal.

A vehicle computer system coordinates adjacent traffic to enable safe lane changes.

Static detector devices generate object information to determine driving tactics for autonomous vehicles.

A LADAR sensor pans a two-dimensional beam to create a three-dimensional field of view for autonomous vehicles.

A vehicle control system segments driver assistance operations into permission packages to manage automated driving functions.

A driver assistance device transmits route information from a lead vehicle to prevent risky overtaking on country roads.

A vehicle driving control apparatus adjusts speed signals using real-time object detection data to manage dynamic driving conditions.

Combining risk potential field map sequences anticipates future object movements to resolve trajectory planning safety limitations.

A display control apparatus adjusts assisting line clarity to help drivers recognize vehicle position within parking spaces.

Spatio-temporal maps analyze video data to track vehicle trajectories without background reliance, reducing false alarms from camera vibration.

A drive support system limits information offer when positional errors exceed a predetermined level.

A vehicle controller calculates turning radius and time to collision to transmit warning signals during intersection maneuvers.

A vehicle window display system switches content based on driver alertness levels detected by sensors.

A signal characteristic modification module adjusts phase coherence and direct-to-reverberant ratio to create configurable distance cues in audio signals.

A collision determination device adjusts processing time based on whether a moving object is shielded.

A vehicle collision time estimation system standardizes edge width and increments count values to calculate moving speed.

A yield amount calculation unit determines precise lateral clearance between vehicles using width and position data.

A vehicle control device sets speed distribution areas to limit velocity in blind zones.

Shifting warning regions dynamically via optical sensors resolves false warnings caused by static zones during lane changes.

A bird's-eye view video generation device synthesizes surrounding video data to display relative positional relationships between vehicles.

A vehicle control system uses a foot well camera to detect driver foot movements relative to pedals.

An image display control device enlarges vehicle camera feeds based on processing delay times to maintain accurate visual scaling.

A DSRC mitigation system synchronizes ego vehicle velocity with downstream traffic using wireless data.

A control device adjusts driving force to optimize right turns at intersections.

A vehicle detection system fuses multi-source detector data to generate accurate obstacle warnings for drivers.

A vehicle control system assesses traffic density using environmental sensors to determine safe lane change conditions.

Multi-angle sensor fusion determines collision danger and controls vehicle target speed, resolving driver operation errors in parking assist systems.

Side cameras feed neural networks to detect lane boundaries, resolving accuracy issues from road variations while reducing computational load.

Optical flow tracking detects moving objects in vehicle blind zones by analyzing motion displacement across consecutive camera frames.

A vehicle control apparatus curbs unnecessary avoidance support by recognizing pedestrian movement toward safe spaces.

A parking assistance apparatus switches control to functioning sensors when one malfunctions.

Autonomous driving computer compares stored location data with real-time sensor inputs to identify primary objects and assess environmental shifts.

A driving assistance device adjusts lateral boundary lines to define an actuation region for collision avoidance.

A rear area monitoring device uses a position sensor to detect adjustable vehicle components that protrude beyond the vehicle.

A driver assistance system monitors surrounding areas to identify overtaking maneuvers and assess collision risks using sensor data.

On-board monitoring detects lane deviation into tunnel emergency bays to activate safety warnings.

A multimodal sensor fusion system combines video, audio, and movement data to generate real-time driver assistance alerts.

A controller adjusts a radar detection zone based on trailer angle to distinguish trailer signals from other objects.

A driver assistance system displays vehicle images combined with camera feeds to enhance situational awareness for the operator.

Position points with adaptive attributes describe lane boundaries to reduce maneuver space data representation.

An adaptive cruise control system calculates average peripheral vehicle speeds to autonomously adjust host acceleration.

A transport apparatus uses coupling detection means to verify detachable member states between article transporting vehicles.

A 3D object detection device calculates periodicity and irregularity evaluation values from image data to distinguish tree shadows from vehicles.

A movable obstacle detector shifts between protruding and retracted positions on a dump truck chassis.

Rotating the radar module toward the vehicle rear covers both detection zones with one sensor, reducing hardware complexity and manufacturing costs.

Mobile phone position signals estimate pedestrian trajectories, preventing collisions with non-motorized road users while avoiding extra equipment costs.

Driving assistance device coordinates collision avoidance by transmitting action plans to nearby vehicles.