Sensor-based mass estimation adapts braking and traction control to changing loads in two- and three-wheeled vehicles.
Radar, lidar, and camera sensing let motorcycles maintain distance automatically and alert riders to nearby hazards in shared road traffic.
Environment sensors detect attached side cases so lean vehicle control can adjust rider assistance based on side case presence and position.
Dynamic sensor selection and selective data sharing help grouped light mobility vehicles improve threat alerts, visibility, and energy use.
Machine learning predicts motorcycle turn radius from kinematics and road factors to guide safer low-speed trajectories.
AR wearables overlay course objects, obstacle cues, and telemetry to adjust scooter performance while reducing rider cognitive burden.
Automatic front brake control uses speed and acceleration sensing to help riders reverse motorcycles with less effort and footing risk.
Radar, lidar, and camera sensing add rider alerts, vehicle communication, and adaptive cruise control to improve motorcycle traffic awareness.
Real-time radar and steering-state alerts restore rider awareness when helmet-limited visibility makes two-wheeled steering hazardous.
Coordinates motorcycle driving modes with active assistance functions to adjust vehicle settings in real time and preserve safety support.
A detachable sensor cover hidden by the windscreen improves maintenance while deterring theft, dirt buildup, and fogging.
Rear-vehicle position sensing guides lane-change alerts by sound or vibration, helping motorcycle riders judge traffic behind more safely.
By moving ABS inlet and outlet valve mounting holes to the opposite surface, this brake unit fits handlebar layouts more flexibly.
Radar and lidar alerts help motorcycles detect nearby objects, warn riders, and support cruise control in shared road traffic.
Road-curvature-based limits on driving force change help following motorcycles avoid delayed bank angle response and loss of stability on curves.
Road surface sensing guides stop assistance in a lean vehicle to stabilize posture at stops and help prevent rider falls on uneven roads.
Machine learning predicts motorcycle turn radius from kinematics and road data to guide parking and U-turns and warn of hazards.
Seat load feedback adjusts automatic motorcycle braking force and timing to improve safety and comfort across rider weight conditions.
A floating rigid plate and resilient core absorb and dissipate impact energy to protect motorcycle battery or motor blocks with less weight.
Mobile cameras and bike sensors detect rider and path deviations, then issue alerts and progressively limit e-bike functions for safer compliance.
A two-stage controller detects pre-wheelie conditions early and limits drive output change to prevent abrupt wheelie onset and unstable behavior.
Independent front and rear brake assist adapts to rider input and obstacle margin, helping leanable vehicles brake safely while turning.
Ultrasonic sensors and a gyroscope enable retrofit bicycle emergency braking that distinguishes real hazards from lean-induced false triggers.
Acceleration and torque sensing let the controller update vehicle mass under changing loads, improving ABS and traction control.
Brake assist adapts to lean rate, angular acceleration, obstacle margin, and rider input to balance braking force and stability during obstacle avoidance.
Tilt and speed thresholds stop motor torque on a fallen e-bike, preventing uncontrolled starting while the rider rights the vehicle.
IMU-based roll angle feedback drives actuator torque for immediate low-speed two-wheeler stabilization with lower complexity and cost.
Seat load sensing replaces bulky mechanical steering actuation, cutting weight and maintenance while enabling driver-presence control.
Dashboard monitor illumination replaces mirror-based warnings, helping riders detect blind-spot and rear-approach vehicles without looking away.
A pivoting rack-mounted passenger guard clears the luggage rack for boarding, then auto-locks to protect riders during transport.
A deceleration module and elastic member add resistance to control seatpost descent and push-back speed, reducing impact and collision risk.
An elastic member supplies seat support while a deceleration module limits descent and return speed for smoother height adjustment.