Mobile devices report location and crossing time to toll servers, reducing manual review of license plate images by correlating records with vehicle accounts.
Dynamic territory-based probability assignment improves path prediction accuracy by adapting to real-time traffic conditions and changing road network states.
Predicting vehicle departure time windows using location-based probability calculations to optimize function execution timing.
Stereo cameras in a smart necklace capture depth data to resolve the trade-off between device complexity and reliable navigation feedback.
A navigational system updates routing parameters using historical route traces to generate optimized paths.
A mobile station transitions between MS-based and MS-assisted position determination methods based on real-time satellite visibility.
A navigation device guides users using pre-stored sensor signals without maps.
A vehicle control system predicts braking of reference vehicles during lane changes to ensure safe execution.
A printing system organizes map overviews and step-by-step directions into a two-column layout.
Self-describing fiducials broadcast encoded position data to vision systems, correcting IMU drift and Kalman filter divergence in GPS-denied environments.
A ridesharing system assigns vehicles by comparing estimated arrival times at flexible pick-up locations.
Integrating mapping, tracking, and communications modules into a single handheld unit reduces the number of separate devices carried by first responders.
A navigation system segments directions into independently configurable audio, visual, and vibrational cues for tailored delivery.
A vehicle head-up display adjusts virtual image position based on detected acceleration to maintain windshield alignment.
Optimization platform segments search areas to generate new results only for non-overlapping regions.
A map data storage method converts acquired content into a predetermined format for vehicle system compatibility.
Modifying object height differentials in visual representations to accentuate selected structures within a three-dimensional display.
A scrollable linear path bar reveals upcoming route segments while automatic return prevents loss of detail during navigation.
Contextual segmentation maps traffic data to specific regions, resolving the trade-off between comprehensive coverage and information personalization.
A vehicle control device displays destination periphery images to enable passenger input of desired getting-off positions.
A hybrid positioning system integrates satellite signals with inertial navigation for vehicle location estimation.
A server computes a fill rate parameter from feedback signals to estimate total vehicle counts in a target zone.
A geographical knowledge graph structures map-based search queries by tagging terms as concepts, categories, attributes, or entities.
A vehicle location recognition system uses image cameras and range sensors to detect road landmarks for precise positioning.
A media player pauses audio content before navigation announcements to prevent overlapping sound.
A navigation apparatus control unit displays drive guide information over a picture frame image.
A navigation device adjusts guidance points to facilitate smoother lane changes into carpool lanes.
A user journey carbon footprint reduction apparatus generates personalized recommendations based on real-time traffic and weather data.
An upward facing imaging sensor computes vehicle attitude to eliminate estimation drift in GPS-denied environments.
Classifies lanes into straight, curved, and clothoid segments to apply geometric or optimization map matching algorithms.
A real-time analysis system processes location observations to determine device status and classify transportation modes using machine learning.
Binary difference operations isolate changed navigation records, generating compact update packages that reduce bandwidth usage and transmission time.
A navigation device analyzes traffic marks to calculate precise coordinates without extra hardware.
Tracking other vehicle trajectories corrects map inaccuracies from lane closures, maintaining navigation safety without manual updates.
Onboard controller generates event alerts from sensor signals to bypass adverse event locations.
Navigation system detects route deviations using LIDAR and camera sensors, generating alerts to ensure precise high-definition map data collection.
Intersection decision system detects pedestrians obstructing previously arrived vehicles at stop signs.
A vehicle lateral guidance system determines lane occupancy using fused sensor and map data to output takeover requests at road branches.
A computer-implemented method processes positional data to generate textual directions via a routing graph.
Navigation system displays multiple routes using emphasized polylines and understated road lines for clear spatial differentiation.
A traffic routing algorithm partitions flow capacity to distribute vehicular emissions across road networks.
An autonomous vehicle navigates to a vendor location using mapping data and sensors for secure pickup.
A speed prediction system identifies relevant historical traffic states to forecast vehicle velocities on road segments.
A navigation system tracks person traversal across defined boundaries to generate location alerts.
A fuel station determination system calculates composite scores to rank candidate stations along a travel route.
Layered hypothesis filters segment road networks into distinct elevation levels, resolving localization ambiguity in complex elevated intersections.
Road sign image sequencing determines vehicle position without GPS, reducing electronic map storage requirements by extracting only essential visual features.
A computing system defines optimal routes by comparing actual GPS position data against predefined paths.
A navigation system parses verbal instructions into actionable steps using sensor data to track movement.