Particular Environment Based Services TRIZ Cases

Adaptive OTA transmission speed limits CAN bus and CPU load so vehicle diagnostic messages remain stable during software reprogramming.

A third certificate validates the vehicle-device combination, enabling accurate driving automation level determination in automated driving.

Repeatedly sharing position, speed, and lean angle helps vehicles predict curved-road collision risk beyond conventional sensors.

When a target shoulder stop cannot be reached, the ADS shifts to alternate stopping locations or manoeuvre types to complete a minimal risk manoeuvre safely.

By splitting vehicle and road data between a remote driving server and a simulation server, this case improves decision quality under bandwidth limits.

A bonded Bluetooth HID link lets a mobile device act as a passive vehicle key, removing user interaction while preserving secure access.

By comparing shared vehicle sensor data and removing redundant or false detections, this case improves recognition speed and control reliability.

Low-power short-range links between adjacent wheel hubs, plus selective long-range server access, cut energy use while coordinating rotating ad displays.

Digital certificate chain matching lets vehicle ECUs grant only permitted functions, blocking tampering while supporting ECU replacement and reuse.

A vehicle controller cuts power differently by device type, balancing lower power consumption with lower network system cost.

Shared dynamic path and risk negotiation between vehicles enables safer lane changes in mixed traffic while reducing onboard prediction load.

A semantic layer and learning agent let vehicle ecosystem units communicate autonomously with context awareness beyond fixed protocols.

Leader vehicles send timestamped steering and speed commands so follower vehicles can coordinate movement without mechanical drawbars or added maintenance.

Surrounding-device state checks expose falsified vehicle location data in V2X links, improving communication reliability and road safety.

Cloud XR offloads vehicle-side rendering and object identification to cut UE processing load while keeping real-time augmented views accurate.

Notification timing and conspicuousness are tuned from driver reaction data to improve collision warning acceptance without added disturbance.

BLE Long Range enables early vehicle authentication, then switches to Normal Mode at close distance to restore bandwidth without weakening security.

A hybrid ECU authentication scheme shares MAC-based results across mixed in-vehicle networks to improve security without adding traffic or ECU cost.

A stacked antenna and blower fan layout shares the same module space to improve vehicle antenna cooling without sacrificing 4G/5G, Wi-Fi, and V2X coverage.

Encrypted tracking data is relayed through a friend device so a vehicle can receive access information before authentication without a direct link.

Temporary contact sharing during device pairing lets voice commands resolve names accurately without manual contact setup or syncing.

LF smart key direction detection activates only the relevant door touch sensor, preventing rain false touches, battery drain, and unintended unlocking.

Zone-based UWB and Bluetooth ranging turns PEPS location data into personalized settings and driver safety functions.

Wheel-mounted vibration and geomagnetic sensing replaces costly road surveys with real-time roughness and pothole detection.

Wireless leader commands with time and distance conditions let follower vehicles keep convoy spacing despite communication latency.

Real-time filtering of V2V and V2I safety messages helps ADAS identify nearby threat vehicles for collision, lane, and intersection safety.

Segmented subchannel ranges place narrowband traffic at band edges, preventing fragmentation and preserving contiguous resources for wideband packets.

Blockchain smart contracts streamline ADS feature activation, cutting transaction overhead and limiting identity-sharing complexity.

Multi-source ADAS driving data feeds deep-learning models to assess real feature use and trigger alerts, control actions, or pricing inputs.

Multi-layer ODD planning and real-time automation-level switching keep autonomous driving active in bad weather and irregular roads.

Fleet sensor data and onboard measurements are combined to predict upcoming road surface conditions, improving vehicle control accuracy and safety.

Fleet-shared road models combined with real-time vehicle sensor data help predict upcoming surface conditions for more reliable control.

Custom speed severity levels use delta speed and duration thresholds to trigger targeted in-vehicle alerts and reduce driver alert fatigue.

Sensor-based vehicle fingerprints detect anomalous driving patterns to flag unauthorized use and other vehicle issues in time.

Collision prediction expands from a default area to a larger one when stored trajectory intersections are nearby, improving multi-lane road assistance.

Adaptive reference positions improve intersection collision risk updates by switching between self-vehicle motion cues and predicted track crossings.

Short-range wireless checks with certificate data prevent GNSS spoofing and trigger area-based vehicle settings with distance-limited rollback.

A client-mediated authorization flow opens vehicle data channels only after user approval, reducing remote access and data leakage risks.

Periodic transmission ID whitelisting lets a CAN anomaly ECU detect unauthorized nodes accurately without disconnecting normal ECUs.

Camera image analysis measures phone-to-vehicle distance during remote maneuvering, improving safety and control reliability.

Adaptive coding and spread-spectrum modes trade data rate for stronger interference and jamming immunity in wireless battery systems.

Compensatory control adjusts vehicle controller parameters when aging or abnormal states are detected, helping maintain basic driving performance.

Access data sent over a separate network lets depot vehicles authenticate automatically to the local network, reducing driver-led delays.

UWB distance and IMU motion data are cross-referenced to narrow user location zones around a vehicle with fewer modules and fast positioning.

A three-layer planner updates autonomous vehicle trajectories with simplified and advanced dynamics to balance fast replanning, safety, and reliability.

Perception region inconsistencies in CPMs are used to flag improper ITS station behaviour, reducing hazards and network overload.

Separate traffic-rule and environment structures in MCMs cut V2X data volume and simplify ITS-based manoeuvre coordination.

Pre-noised reference embeddings help authenticate vehicle occupants more accurately despite air conditioner, rain, and other cabin noise.

Uses utterance, position, and movement direction data to estimate user location and dynamically adjust vehicle meeting points in congestion.

Priority-based UWB message scheduling reduces ranging failures and response delays when multiple mobile devices compete for vehicle access.

A multicast routing method transmits data packets through multiple forwarding nodes to extend wireless communication range.

Antenna-side circuit unit combines radio signals using specific wireless circuit connection sequences to simplify transmission paths.

A communication device stops a second authentication process when the first process encounters an abnormality.

Counting unit tracks call requests per identity within a time period to block repetitive inputs that degrade elevator operation efficiency.

A disaster information regeneration server combines basic alerts with personal interest data to deliver tailored emergency updates.

Segmenting the spectrum into orthogonal time-frequency blocks allows simultaneous data transmission and radar probing without mutual interference.

A UWB tracking system uses time-of-flight measurements from anchor transmitters to determine precise device positions.

A geofence generation system displays boundaries for operator verification and combines adjacent areas to ensure precise worksite definitions.

An AIS transceiver validates ground station messages against stored data to prevent malicious interference and ensure accurate satellite monitoring.

A mobile unlocking device determines its position using a cellular network signal to verify authorization for vehicle access.

A system captures oxygen levels across zones and displays a map on user devices to guide movement toward safe areas.