A driver assistance system is provided with: an external sensor unit that acquires forward information; and a driver assistance control device that calculates, on the basis of the forward information, a relative speed and a predicted time to collision between the vehicle body and an object, and additionally executes a braking control for emergency avoidance that operates a brake device automatically at a timing determined on the basis of the predicted time to collision. If the object is a pedestrian, the driver assistance control device executes the braking control when the current state point specified by the relative speed and the predicted time to collision is inside an area 1 above a braking avoidance limit line L4, and executes a steering control that automatically changes the travel direction of the vehicle body when the state point is inside an area 2 at or below the limit line L4.

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 driving assist method includes detecting positional information of a first vehicle, storing the detected positional information, detecting a curve along which the first vehicle travels in accordance with the stored positional information, generating curve information including a curvature of the curve at the detected curve, transmitting the generated curve information from the first vehicle after the vehicle passes the curve, receiving the curve information by a second vehicle, determining a timing to provide the curve information in accordance with the received curve information, and providing the curve information at the determined timing.

A human-powered vehicle control device includes at least one sensor, a memory, a controller and an interpolation processor. The at least one sensor is configured to acquire input information related to traveling of a human-powered vehicle. The memory is configured to store a first learning model trained so as to output output information related to control of a device mounted on the human-powered vehicle based on the input information acquired. The controller is configured to control the device by control data decided based on output information obtained by inputting the input information to the first learning model. The interpolation processor is configured to execute processing of interpolating the first learning model in the memory using a second learning model trained with input information in a human-powered vehicle different in at least one of the human-powered vehicle and a rider of the human-powered vehicle.

Provided is a traffic safety support system capable of improving traffic safety in a situation in which it is predicted that a mobile body other than a host vehicle is shielded by a nearby vehicle present near the mobile body. A traffic safety support system includes a recognizer, a HMI, a risk notification setting unit, and a risk notification control device. The risk notification setting unit sets a notification mode to a hinting notification mode in a case where a motorcycle acts as an oncoming mobile body, and where a four-wheeled automobile is present near the motorcycle and is approaching a four-wheeled automobile from the front in the traveling direction of the four-wheeled automobile, and sets the notification mode to an analogue notification mode in a case where the motorcycle is present within an analogue notification range.

A drive assistance device (24) for a saddle type vehicle (1) includes a ride sensor (37) configured to detect a ride attitude of a rider (J), a vehicle body behavior generating part (25) configured to generate a behavior on a vehicle body by a prescribed output, and a controller (27) configured to control driving of the vehicle body behavior generating part (25), the vehicle body behavior generating part (25) includes a brake device (BR) configured to brake a host vehicle, and wherein, when the brake device (BR) is actuated regardless of an operation of the rider (J), the controller (27) actuates the brake device (BR) according to the ride attitude of the rider (J) detected by the ride sensor (37).

Motorcycle riders, being more vulnerable than drivers of four-wheeled vehicles, can especially benefit from advance warnings of hazards. Hazards are detected in the predicted path of the motorcycle or are predicted to be in the path within the next few seconds of the motorcycle's travel. The outputs from the sensors that detect the hazards are corrected for the lean of the motorcycle as it corners. The predicted path or ego lane of the motorcycle is also adjusted depending on the lean of the motorcycle.

In an aspect, a self-balancing two-wheeled vehicle is provided, having a body, and first and second wheels rotatably coupled to the body. The second wheel has at least one lateral roller rotatable about an axis that is one of oblique and orthogonal to a rotation axis of the second wheel. At least one motor is coupled to the second wheel to control rotation of the second wheel and the at least one lateral roller. At least one sensor is coupled to the body to generate orientation data therefor. A control module is coupled to the at least one motor to control operation thereof at least partially based on the orientation data generated by the at least one sensor.

A system generates haptic feedback in an electric vehicle. The system comprises a frame, an energy storage device, and a wheel rotatably coupled to the frame. A motor receives power from the energy storage device and provides torque to the wheel. A controller determines a first operational state of the electric vehicle and transmits a first torque signal to the motor to control the motor to transmit first torque levels to the wheel to propel the electric vehicle. The controller determines a second operational state of the electric vehicle and transmits a second torque signal to the motor assembly. The motor assembly transmits second torque levels to the wheel to generate haptic feedback. The second torque signal is based on the second operational state of the electric vehicle and a torque profile stored in the memory, where the torque profile defines an irregular-shaped periodic waveform (e.g., a heartbeat rhythm).

A straddle type vehicle includes a setting unit configured to set a warning line along a boundary between a traveling lane of a self-vehicle and an oncoming lane, a warning unit configured to issue a warning if the self-vehicle has crossed the warning line, a detection unit configured to detect a difficult-to-travel region in the traveling lane, and a determination unit configured to determine whether it is difficult or possible for the self-vehicle to pass between the boundary and the difficult-to-travel region. If it is determined by the determination unit that it is difficult for the self-vehicle to pass, the setting unit changes a position of the warning line to a position shifted from the boundary toward the oncoming lane side.