A tele-operated vehicle system integrates sensor data with remote driving commands to generate unified control actions.
Integrates redundant sensors and communication channels to resolve location sensing errors, ensuring fault-tolerant operation in dynamic environments.
A vehicle evasive steering system allocates target yaw moments to multiple chassis actuators for precise obstacle avoidance.
A mobile apparatus stabilizes sensor posture using internal control commands to minimize relative changes during movement.
Relocating sensors to the traction engine eliminates trailer data complexity while maintaining 360-degree detection accuracy.
A computing device generates a discrete planning graph to store nominal trajectories for robotic devices.
Negotiating leaders among autonomous vehicles optimizes route splitting and reduces transportation costs.
A golf cart control module uses camera imaging to track a target device and switches between manual and automatic driving modes.
GPS management system tracks mining machine positions to prevent collisions, maintaining mine productivity during concurrent operations.
A vehicle display control unit segments driving support level images from action request icons using distinct spatial regions on the dashboard screen.
A vehicle control device adjusts driving intervention levels based on switching point distance and take-over difficulty.
A deadlock detection device combines mobile vehicles on a traveling path configuration graph to identify safe states without exhaustive simulation.
A robotic vacuum controller identifies obstacle-free sections using 3D mapping to prioritize cleaning safe areas first.
Autocorrelation analysis of path section data detects complete perimeter traversal, resolving navigation complexity versus coverage reliability trade-offs.
Radial line selection generates shorter return paths to charging stations, reducing travel time and preventing boundary wire rut formation.
A computing device repurposes the vehicle turn signal lever to initiate autonomous passing, road exit, and exit search operations via manual actuation.
A traffic management module optimizes automated-guided vehicle routes through integer linear programming.
Aligns detected ceiling contours with a stored depth map to determine robotic position, bypassing ground-level occlusions that degrade localization accuracy.
Segmented architecture isolates collision detection from route planning, reducing response time and preventing accidents when main systems are overwhelmed.
Asymmetric ultrasound sensors detect vehicle positional deviations through intensity comparison.
A vehicle control system computes a traveling route using terminal position data to enable remote autonomous parking.
Autonomous devices request sensor information from a data server to access external sensors along planned routes, enabling navigation without human input.
A brake pedal simulator maintains consistent deceleration and pedal feel during transitions from autonomous braking to driver-initiated control.
Continuous marker detection updates virtual maps with calculated uncertainties, resolving adaptability and complexity contradictions.
Replacing complex shaft-and-guide linkages with an elastic plate structure reduces component count while maintaining accurate obstacle detection.
Four independent wheels with active steering resolve traction and energy loss contradictions, ensuring reliable odometry estimation on rough terrain.
A vehicle position estimation method separates global pose from local target tracking using distinct coordinate reference frames.
Offset area wire segments guide autonomous vehicles to charging stations, resolving alignment failures during battery recharge cycles.
A monocular camera paired with inertial measurement units and wheel odometry estimates robot position through sensor fusion.
The radar system recalibrates its detection baseline using received beam reflections to filter out shape changes, ensuring accurate object location reporting.
Autonomous vehicles calculate target trajectories using onboard relative position data from neighboring convoy members.
A machine controller selects redundant sensor data to maintain vehicle navigation accuracy.
Nesting a laser scanner within the vehicle body resolves the conflict between obstacle detection range and trailer clearance height.
Dynamic signal processing adjusts jamming loadsets based on unmanned vehicle sensor feedback to mitigate improvised explosive device threats.
A camera monitor unit detects sensor faults and limits driving conditions to maintain autonomous operation.
A work vehicle coordinating system calculates target positions for unmanned sub vehicles following a main unit.
A mining machine management system registers landmark positions via GPS to define prohibited zones for non-contact sensor detection.
A computer-implemented method monitors autonomous vehicle state data to detect deviations in control inputs.
Adjusting sensor ranges and sampling rates according to real-time robot velocity resolves the contradiction between system complexity and navigation efficiency.
A vehicle collision avoidance system calculates a tangential circular arc path to steer clear of obstacles detected by low-cost sensors.
A travel assistance method calculates a route line within a quadrangle formed by start, end, and control points to guide vehicles along curves.
A method determines command delays for autonomous vehicles by calculating conformity percentages of driving commands against captured statistics.
A composite grid integrates radar and ultrasonic readings to establish vehicle-relative obstacle positions.
A work vehicle control unit adjusts travel speed and direction to navigate narrow passages alongside oncoming traffic.
Processor-based sensors detect aggressive driving to provide real-time feedback and correct unsafe vehicle operation.