Particular Environment Based Services TRIZ Cases

AI vision classifies a leading vehicle's body movements in real time, helping automated driving systems detect hazards more accurately.

Combines timing, fixed-field, and variable-field checks based on time and load to catch anomalous in-vehicle network messages.

Real-time speed and location data redefine pass and no-pass zones, enabling safer overtaking and smoother traffic flow on active roadways.

When a vehicle cyber anomaly is detected, the system shifts to degraded mode, updates affected software, and restores normal operation safely.

Hazard-point detection is extended in the vehicle's turning direction, improving timely driver warnings when fixed forward ranges fall short.

A switch shares one vehicle antenna between DSRC and C-V2X, cutting antenna space and cost while avoiding mutual interference.

Proximity-triggered wallet credential setup cuts manual steps, interface burden, and device power use during vehicle mobile key enrollment.

Dedicated V2X frames carry driving intention, capability, and mode data so nearby vehicles can make better autonomous driving decisions.

Uses OS activity identifiers and built-in mobile sensors to capture driving behavior data without OBD hardware or heavy battery drain.

A double-layer sealing structure with a waterproof ring and switch-hole pad keeps humid-environment sensors reliable while enabling group control.

A two-stage proximity and authentication check validates wireless access cards only when they are genuine and physically near the terminal.

A sealed switch-hole pad and waterproof rings let a group-controlled sensor resist moisture while keeping DIP-switch configuration accessible.

A nested multi-layer sealing structure blocks water at the switch hole and cover interface, improving Zhaga sensor reliability in humid use.

A software-based vehicle network monitors message timeouts and resets unresponsive ECUs to prevent battery drain without relay hardware.

Shared tractor map and position data let a transport vehicle navigate farm roads and fields where standard road maps are incomplete.

Shared sensor data lets one V2X vehicle locate another without GNSS and detect non-V2X vehicles between them for safer road train operation.

Location-bound virtual credentials let an autonomous vehicle collect missing order items from multiple pickup sites in one delivery trip.

Sensors detect cyclists or scooters near a parked vehicle, block door opening, and alert both occupants and riders to prevent dooring.

Over-the-air disengagement alerts let nearby vehicles and network nodes adjust autonomous operation after AV mode exits.

Mounting the antenna and communication module in one instrument-panel housing cuts coaxial loss, removes amplifiers, and lowers cost.

Hierarchical sub-group platooning data preserves original group structure after sidelink merging, enabling easier later separation.

When one vehicle loses sight of a target, processed behavior data is handed to another detector to preserve early unsafe driving recognition.

Existing vehicle lights encode binary light patterns to signal hazards, deceleration, and intent when wireless links are unavailable.

A secured mobile runtime uses NFC, BLE, or UWB to operate vehicle digital keys without dedicated hardware or OEM-specific pairing.

UWB time-of-flight and received-power correction improve in-cabin phone detection for secure vehicle start activation.

A secure mobile runtime acts as a software root of trust, reducing hardware dependency while enabling vehicle digital keys across device brands.

Fusing onboard and V2V object detection data improves autonomous vehicle scene awareness by matching and combining detections from multiple vehicles.

Water level sensing and vehicle operating parameters are combined to judge road passability and prevent stranding during flooding.

Distributed edge nodes fuse local dynamic map updates and send each vehicle only relevant data, cutting latency and onboard processing load.

Ranks abnormal automated-driving vehicles by process load and passenger count, then highlights the most critical in-vehicle image for faster response.

Cloud-generated rule sets adapt vehicle assistance sequences to location, weather, and vehicle state to improve delivery compliance and reduce driver workload.

Multiple vehicle transceivers detect communication loss and disable affected functions to block relay-based unauthorized access.

When DoS attacks block onboard or network links, acoustic signaling uses vibration-triggered audible alerts to request help from nearby vehicles.

By coordinating nearby vehicles to open a virtual safety area, post-crash control reduces secondary collision risk despite damaged sensors.

Wideband AOA positioning locates a phone or wearable near the driver or steering wheel to restrict distracting functions and adjust vehicle operation.

Reflective plates guide radio waves through building channels to cut multi-floor signal loss and avoid costly wired installation.

Wireless user identification and seat-location detection enable secure vehicle login without display interaction for any occupant.

Masked data packets derived from seed-based scrambler states protect automotive bus traffic without adding heavy complexity or latency.

V2V data and navigation extend hazard detection beyond camera limits by monitoring the predicted path and triggering earlier collision avoidance.

Trajectory data from nearby vehicles is used to set and update an intersection monitoring region, improving collision risk detection without map data.

Predicted user engagement guides when and how notifications are delivered, reducing distraction and unnecessary computational load.

Vehicles share intermediate ML classifications over ad hoc V2V links to cut cloud traffic, extend coverage, and improve detection confidence.

Visible and audible cues let first responders externally control a vehicle in emergencies without prior authentication or devices.

Separating straight-ahead and turning swarm speed data lets the vehicle brake smoothly in turns and keep assist functions stable.

Vehicles adjust ad hoc network size from sensor confidence to share navigation and safety data while easing bandwidth and processing limits.

A gateway exposes low-cost vehicle ECUs as block devices over the bus, simplifying software updates, debugging, and data transfer.

When fallback occurs, edge infrastructure coordinates emergency stops and passenger location sharing to improve autonomous driving safety.

Ahead-view images from a lead vehicle are synchronized to follower location, reducing driver cognitive dissonance during stable platooning.

A platooning vehicle selects a representative BSM transmitter based on 5G communication resource usage to maintain safety coverage with less channel load.