A stereo camera system uses U-map labeling to separate overlapping objects by analyzing depth distribution patterns.
A vehicle warning system processes sensor signals to calculate speed differences between the host vehicle and nearby objects.
A vehicle collision warning system predicts trajectories using steering angle data to display predicted collision zones on a digital screen.
Existing hazard lights alert surrounding vehicles of collision hazards, improving situational awareness without adding new communication hardware.
Distributed collection lenses transmit images via fiber optics to a single camera, enabling lightweight collision avoidance for small unmanned aircraft.
A siren detection system analyzes vehicle audio signals using location-specific acoustic models to identify warning sounds.
A collision avoidance method adjusts target vehicle length parameters to calculate precise deceleration requirements and brake threat numbers.
Processor simulates traffic flow through merge apertures to determine optimal merge distances, preventing congestion and increasing average speed.
A driver assistance system displays a virtual lane overlay to show vehicle position relative to road markings.
A roadside marker detects rumble strip sounds via acoustic filtering to activate lights, reducing false alarms from general traffic noise.
A vehicle obstacle detection system generates alerts and control actions based on distance thresholds.
A lane splitting notification system detects boundary signals to identify motorcycles performing lane splitting maneuvers.
A multibeam transmitter system generates separate transmit beams to increase dwell time at specific positions.
A driving assist device adjusts inter-vehicle distance control based on millimeter wave radar and camera reliability.
Camera-based lane detection uses road edge corridor analysis to identify driving paths without relying on visible markings.
Reverse-sequence lane change coordination reduces fuel consumption and deceleration by maintaining constant speed while preventing traffic interruptions.
Time-multiplexed radar activation prevents destructive wave superimposition, maintaining high signal quality and reliable surroundings detection.
A data generation apparatus automates labeling of external environment information using vehicle sensors.
A vehicle analysis device compares received position data against digital road maps to identify wrong-way drivers.
A collision threat filtering method evaluates trajectory data to identify potential collisions among multiple earth-moving machines.
Ground-side detectors identify hidden obstacles to trigger vehicle deceleration, resolving detection range limits and preventing collisions.
Anomaly monitoring system detects driver impairment and triggers automatic vehicle deceleration mechanisms.
Automated video analysis detects parking angle violations using image capture devices, replacing manual inspection with precise computational geometry.
A driver assistance system predicts future object positions and aggregates weighted risk values to control vehicle actuators.
Smart glasses camera records occupant field of vision to detect surrounding objects, eliminating calibration requirements for accurate perception tracking.
Vehicles exchange trajectory sets and effort values to select collision-free paths for cooperative maneuver coordination.
A network device gathers vehicle parameters to detect traffic conditions and transmit warnings to nearby vehicles.
A driving assistance device adjusts information processing amounts based on required assistance levels to optimize resource usage.
Segmenting detection into stages allows face recognition only when necessary, resolving the trade-off between safety reliability and processing time.
Adjustable time-to-impact threshold adapts to vehicle load and braking performance for precise collision warnings.
An electromagnetic brake actuator replaces mechanical pawls in vehicle turn signal stalks to provide quiet automatic cancellation.
A measurement device calculates vehicle speed using distance and angle data from segmented feature areas within a single scan period.
A control system uses asymmetric state transitions to manage driver assistance interventions.
A driving automation level lowering feasibility determination apparatus calculates a driving load value based on surrounding vehicle information to assess authority transfer.
A safety system calculates optimized evasion trajectories using transverse acceleration and jerk metrics to guide vehicle maneuvers.
A driving assistance apparatus recognizes a target track and controls steering to follow the path ahead.
A portable communication device converts acoustic signals from a vehicle into visual displays for the driver.
A trajectory determination system uses an occupancy map to identify collision-free paths for vehicles and other road users.
Lane change control module predicts proximate vehicle states to resolve collision risks during automated maneuvers.