Commercial personal mobile vehicles (PMVs) managed by a fleet management system are sometimes equipped with a radar sensor to detect objects in an environment external to the PMVs. Specifically, the PMV may be equipped with a variety of sensors, such as a radar, a sonar sensor, a (optional) camera, an inertia measurement unit (IMU), and/or the like. The combination of a radar reflection signal and a sonar signal may provide measurements of characteristics such as a Doppler velocity and height information of a nearby object, which may be input to a machine learning classifier to determine the probability that the nearby object is a VRU. For another example, the reflection pattern from radar and ultrasonic may be used to input to a machine learning classifier to determine a type of the road surface, e.g., an asphalt road surface, a concrete sidewalk surface, a wet-grass lawn surface, and/or the like.

A hybrid vehicle includes: an engine including a crankshaft; an electric motor including a motor drive shaft; a power transmission shaft to which a total of drive power from the engine and drive power from the electric motor is transmitted; and a switching dog clutch located on a power transmission route from the crankshaft to the power transmission shaft, the switching dog clutch including a switching dog structure slidable to cut off the power transmission route.

Haptic devices are installed in a motorcycle's handlebars, footpegs and seat to provide the rider with alerts that relate to hazards. The alert is provided before the rider notices the hazard, or before the rider reacts to the hazard. By giving advance warning, a rider is given extra time to avert a potential accident. The alerts also provide a direct instruction to the rider as to what to do to avoid the accident.

An abnormality detection device includes: an intake pressure sensor configured to detect an intake pressure of an internal combustion engine; an opening sensor configured to detect a throttle opening of the internal combustion engine; and a determination unit configured to determine, based on detection results of the intake pressure sensor and the opening sensor, whether the intake pressure sensor is abnormal. The determination unit determines, based on a result of intake pressure comparison between different throttle openings, whether the intake pressure sensor is abnormal.

A system and method for an electronic cruise control used to supplement electronic control units or vehicles for enhanced or additional cruise control integration. The electronic cruise control is designed to be updated easily by the end user or system to adjust the speed of a vehicle such as a motorcycle whereby the electronic cruise system sends a control signal to rotate an existing throttle to maintain the motorcycle's speed whereby the throttle grip position will always reference the speed of the motorcycle.

The present invention obtains a controller and a control method capable of appropriately stabilizing a posture of a straddle-type vehicle. In the controller and the control method according to the present invention, when the straddle-type vehicle jumps, automatic posture control for controlling the posture of the straddle type vehicle by increasing or reducing a rotational frequency of a wheel is executed in accordance with posture information at the time when the straddle-type vehicle jumps. Furthermore, in the case where it is determined whether a driver has intention to control the posture of the straddle-type vehicle at the time when the straddle-type vehicle jumps without relying on the automatic posture control and where it is determined that the driver has the intention, the automatic posture control is prohibited.

The present invention obtains a processor, a processing method, a warning system, and a straddle-type vehicle capable of improving both the rider's safety and the rider's comfort. A processor (20) includes: an acquisition section that acquires surrounding environment information corresponding to output of a surrounding environment detector (11) during travel of a straddle-type vehicle (100); a determination section that determines necessity of warning operation provided to the rider and generated by the warning system (1); and a control section that makes an alarm (30) perform the warning operation in the case where the determination section determines that the warning operation is necessary. The acquisition section further acquires helmet posture direction information corresponding to output of a helmet posture direction detector (13) during the travel of the straddle-type vehicle (100). The determination section determines the necessity of the warning operation on the basis of the surrounding environment information and the helmet posture direction information.

The present invention obtains a controller and a control method capable of hastening identification of an object or an event to be focused by a rider of a straddle-type vehicle, the rider having perceived haptic motion.

A controller (51) for a rider-assistance system (50) mounted to a straddle-type vehicle (100) includes: a determination section that determines necessity of a warning given to the rider; and a haptic motion performing section that performs haptic motion at least once to reduce or increase acceleration/deceleration of the straddle-type vehicle (100) only for a moment. The haptic motion performing section changes a priority of each wheel (3, 4) at the time of changing a braking force to reduce or increase the acceleration/deceleration only for the moment in the haptic motion according to a focusing direction that is a direction in which the rider should focus by the warning.

The disclosure relates to an electric bike controlled using Artificial Intelligence (AI). The electric bike includes a mobile mount that is configured to receive a mobile device. A controller is configured to capture user information via a front camera. Further, sensors configured in the mobile device and the electric bike capture sensor information associated with the electric bike. The electric bike includes a rear camera to capture path information associated with a path being used to ride the electric bike. A first mobile application converts each of user information, sensor information, and path information into corresponding information states and determines whether these information states are deviating from associated predefined thresholds. In response to determining a deviation an alert signal is generated and a deactivating signal is transmitted to the controller to progressively curtail one functioning of the electric bike.

A hybrid power unit includes: an internal combustion engine; a power transmitting shaft to which power from a crank shaft is transmitted and which is housed in a crank case; an electric motor including a motor driving shaft projecting from a motor housing toward a lateral side, the electric motor being located on an outer surface of the crank case; a linkage which extends through a through hole of the crank case and through which power from the motor driving shaft is transmitted to the power transmitting shaft; and a shaft cover defining a shaft space that houses a portion of the motor driving shaft which projects from the motor housing, the shaft cover being detachably fixed to the outer surface of the crank case so as to cover the through hole.