When automated driving fails in blocked or unusual traffic, remote driving instructions help the vehicle pass safely with lower data transmission.
A dual-purpose trip button and covered emergency stop make driverless rides easier to start, pull over, and halt without accidental activation.
Dynamic processing specifications let vehicle hardware adapt to external conditions and hardware status, improving control while reducing power use.
Construction data is projected onto the ground around a working machine, keeping operators focused on the implement while reducing screen-related risk.
Sensor fusion with cameras, LIDAR, RADAR, and AI helps autonomous shuttles detect obstacles and navigate safely on dynamic on-demand routes.
Protective fields are set ahead of curves and speed changes so industrial trucks can avoid collisions without slowing warehouse handling.
Multiple health monitors and a state machine gate autonomous control inputs so the vehicle can keep navigating safely during degraded operation.
Sensor-based environmental models let vehicles verify external route proposals in exceptional traffic situations and reject manipulated guidance.
Detects broken or uncalibrated vehicle sensors, limits motion, and uses other sensor data to maintain safer navigation.
A delta switch layout creates alternative vehicle power paths, maintaining supply after switch faults without doubling switch count.
Sensor-driven monitoring detects theft risks and unsafe conditions in self-driving vehicles, triggering rerouting, lockdown, or remote alerts.
When an emergency is detected, control instructions can alter autonomous vehicle speed or route and temporarily bypass road rules to clear access.
Relative vehicle mass estimates scale torque and braking across platoons, improving coordination, control accuracy, and remote fleet operations.
Predicted sensor and perception outputs are compared with live data to detect camera and external sensor faults in real time.
Grouped consent and urgency-based transmission let vehicle data be shared securely while improving user control, bandwidth use, and cost.
Roadside stop signals are detected and analyzed so an autonomous vehicle can halt at a designated location and engage parking brakes automatically.
An adjustable-leg UAV dock separates support and charging functions to keep docking stable, compact, and easy to reposition.
Magnetic coupling and compressible pogo-pin contacts simplify UAV dock charging while keeping the assembly lightweight and easy to reposition.
When autonomous driving reaches unfamiliar hazards or failures, remote support can guide the vehicle, assess urgency, and trigger emergency braking.
Probabilistic capability metrics propagate sensor uncertainty through vehicle functions to detect unsafe conditions and avoid unnecessary autonomous shutdowns.
After passenger drop-off, the vehicle waits and uses onboard sensors to confirm safe arrival or allow re-entry before departure.
Requirement and route signals are checked in advance so remote guidance can keep vehicles out of restricted zones and enforce local rules.
A dual-purpose trip button and covered emergency stop simplify rider input in autonomous vehicles without steering wheels or pedals.
Onboard failover logic selects actions by operating mode, avoiding remote latency during trigger events in autonomous vehicles.
Remote vehicle movement is blocked unless maintenance mode and diagnostic connection checks confirm a safe service state.
Stored trajectory data and a separate safety controller keep an automated vehicle decelerating to a safe stop after computing platform failure.
Predetermined-area verification rejects fake remote commands to moving bodies and limits operation when location checks fail.
A dynamic junction queue updates vehicle order from arrival, position, and timeout data to handle out-of-turn traffic and improve crossing safety.
A morphing visual cue shows an autonomous vehicle's next movement in real time, helping passengers anticipate turns and speed changes.