The present invention provides a driving assist apparatus, a driving assist method, and a driving assist system capable of realizing driving assist in consideration of a delay in a driver's operation regardless of a configuration of a vehicle. A driving assist apparatus includes a standard running route acquisition portion configured to acquire a standard running route calculated based on curve information ahead of a vehicle that is acquired by an external world recognition portion, and an actuator control output portion configured to acquire a standard vehicle motion amount when the vehicle runs the standard running route, calculate an instruction that guides a motion amount of the vehicle toward the standard vehicle motion amount based on the standard vehicle motion amount and a current vehicle motion amount of the vehicle, and output the instruction to an actuator portion configured to provide at least one of a curving force and a braking force to the vehicle.

An agricultural vehicle monitoring system includes one or more noncontact sensors configured to sense multiple objects along a scanline. A comparative vehicle monitor is in communication with the one or more noncontact sensors. The comparative vehicle monitor is configured to provide a specified row width and to identify one or more crop rows from the scan line and determine one or more lengths of scan line segments between identified crop rows. The comparative vehicle monitor is further configured to determine a vehicle position including one or more of a vehicle angle or a vehicle location according to the specified row width and the one or more determined lengths of scan line segments between the identified crop rows.

An agricultural vehicle monitoring system includes one or more noncontact sensors configured to sense multiple objects along a scanline. A comparative vehicle monitor is in communication with the one or more noncontact sensors. The comparative vehicle monitor is configured to provide a specified row width and to identify one or more crop rows from the scan line and determine one or more lengths of scan line segments between identified crop rows. The comparative vehicle monitor is further configured to determine a vehicle position including one or more of a vehicle angle or a vehicle location according to the specified row width and the one or more determined lengths of scan line segments between the identified crop rows.

A vehicle running control method includes: calculating, by a controller, a lateral velocity of an adjacent vehicle that travels in a lane adjacent to a traveling lane in which an autonomous vehicle travels in the road-width direction, and a longitudinal velocity of the adjacent vehicle in the direction in which the adjacent lane extends; specifying, by the controller, a predetermined road section based on the longitudinal velocity and calculating a first path on the assumption that an offset distance of the adjacent vehicle in the adjacent lane in the road-width direction is maintained within the road section; and applying, by the controller, the lateral velocity to the first path to calculate a second path corresponding to a predicted traveling path of the adjacent vehicle.

A method for executing multi-mode turns with a work vehicle includes transmitting initial steering and braking commands for controlling an operation of a steering actuator(s) and a steering brake(s), respectively, of the work vehicle to initiate execution of a multi-mode turning operation. The method also includes determining allowable steering and braking rates for the work vehicle based at least in part on an actual steering rate and an actual braking rate, respectively, of the work vehicle during execution of the multi-mode turning operation, and determining updated steering and braking commands based at least in part on the allowable steering and braking rates. In addition, the method includes transmitting the updated steering and braking commands to control the operation of the steering actuator(s) and the steering brake(s), respectively, to continue execution of the multi-mode turning operation.

An autonomous driving system mounted on a vehicle determines a target path based on necessary information and performs vehicle travel control such that the vehicle follows the target path. A first coordinate system is a vehicle coordinate system at a first timing when the necessary information is acquired. A second coordinate system is a vehicle coordinate system at a second timing later than the first timing. The autonomous driving system calculates, based on the necessary information acquired at the first timing, a first target path defined in the first coordinate system. Then, the autonomous driving system corrects the first target path to a second target path defined in the second coordinate system by performing coordinate transformation from the first coordinate system to the second coordinate system. The autonomous driving system uses the second target path as the target path to perform the vehicle travel control.

An autonomous driving system mounted on a vehicle determines a target path based on necessary information and performs vehicle travel control such that the vehicle follows the target path. A first coordinate system is a vehicle coordinate system at a first timing when the necessary information is acquired. A second coordinate system is a vehicle coordinate system at a second timing later than the first timing. The autonomous driving system calculates, based on the necessary information acquired at the first timing, a first target path defined in the first coordinate system. Then, the autonomous driving system corrects the first target path to a second target path defined in the second coordinate system by performing coordinate transformation from the first coordinate system to the second coordinate system. The autonomous driving system uses the second target path as the target path to perform the vehicle travel control.

Various technologies described herein pertain to controlling an autonomous vehicle to provide indicators to distinguish the autonomous vehicle from other autonomous vehicles in a fleet. The autonomous vehicle includes a vehicle propulsion system, a braking system, a notification system, and a computing system. The notification system outputs an indicator that is perceivable external to the autonomous vehicle. The computing system receives data specifying an identity of a passenger to be picked up by the autonomous vehicle. Moreover, the computing system controls at least one of the vehicle propulsion system or the braking system to stop the autonomous vehicle for passenger pickup. Further, the computing system controls the notification system to output the indicator; a characteristic of the indicator outputted by the notification system is controlled based on the identity of the passenger to be picked up and whether the autonomous vehicle is stopped for passenger pickup.

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.

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.