An autonomous driving control device and an autonomous driving path computation method capable of computing a driving path without extremely changing a movement of a steering wheel during autonomous driving. A parking control device computes a parking path for automatically parking a vehicle, and includes an acceleration section transition curve computing unit that computes an acceleration section transition curve based on a target steering speed set in advance and an acceleration section target vehicle speed, a deceleration section transition curve computing unit that computes a deceleration section transition curve based on the target steering speed and a deceleration target vehicle speed, and a parking path computing unit that computes a parking path using the acceleration section transition curve and the deceleration section transition curve. The parking path is computed by setting the deceleration section target vehicle speed faster than the acceleration section target vehicle speed.

A self-balancing robot system providing AI humanoid robots or robot vehicles comprising a drive wheel propulsion system configured to achieve mobility and balance by means of sensoring system components, accelerometers, and trajectory algorithms. The self-balancing robot system components include; a computer control system with processors and memory, a motion control system, an autonomous drive system, a wireless communication system comprising I/O system processes including WIFI, Bluetooth, and a smartphone, a network system, and a user interface control.

A vehicle control device is configured such that if, during an automatic driving mode in which a vehicle is automatically driven regardless of operations by a driver, such automatic driving mode is temporarily stopped by a prescribed operation by the driver and a normal driving mode in which the vehicle is driven in accordance with the operations of the driver is entered, and thereafter the automatic driving mode is returned to from the normal driving mode, specific control is implemented in the post-return automatic driving mode, such control being determined on the basis of the driving state of the vehicle during the normal driving mode before the return.

A system for controlling a work vehicle towing an agricultural implement having ground-engaging tools across a field includes a vehicle controller configured to control operation of the work vehicle, an implement controller configured to control operation of the implement, and at least one sensor communicatively coupled to either or both of the vehicle controller and/or the implement controller. The vehicle controller and/or the implement controller is also programmed with a field map. The sensor(s) is configured to provide an indication of a location of the implement within the field. The implement controller is configured to perform one or more operations, including but not limited to anticipating a change in loading of one or more of the ground-engaging tools of the implement based on the location of the implement relative to the field map and transmitting a request instructing the vehicle controller to initiate a control action associated with adjusting at least one operational parameter of the work vehicle to accommodate the anticipated change.

A system for controlling a work vehicle towing an agricultural implement having ground-engaging tools across a field includes a vehicle controller configured to control operation of the work vehicle, an implement controller configured to control operation of the implement, and at least one sensor communicatively coupled to either or both of the vehicle controller and/or the implement controller. The vehicle controller and/or the implement controller is also programmed with a field map. The sensor(s) is configured to provide an indication of a location of the implement within the field. The implement controller is configured to perform one or more operations, including but not limited to anticipating a change in loading of one or more of the ground-engaging tools of the implement based on the location of the implement relative to the field map and transmitting a request instructing the vehicle controller to initiate a control action associated with adjusting at least one operational parameter of the work vehicle to accommodate the anticipated change.

In accordance with an aspect of the present disclosure, cruise control of an automotive vehicle in a fuel economy cruise control mode controls vehicle speed to be within a fuel economy speed band about a cruise control set speed so that instantaneous fuel economy is at least equal to average fuel economy.

Examples implementations relate to determining path confidence for a vehicle. An example method includes receiving a request for a vehicle to navigate a target location. The method further includes determining a navigation path for the vehicle to traverse a first segment of the target location based on a plurality of prior navigation paths previously determined for traversal of segments similar to the first segment of the target location. The method also includes determining a confidence level associated with the navigation path. Based on the determined confidence level, the method additionally includes selecting a navigation mode for the vehicle from a plurality of navigation modes corresponding to a plurality of levels of remote assistance. The method further includes causing the vehicle to traverse the first segment of the target location using a level of remote assistance corresponding to the selected navigation mode for the vehicle.

A driving control method comprises: acquiring a destination of a vehicle; referring to a first map that includes identification information of a travel lane and a second map that does not include the identification information of the travel lane; calculating a route from a current position of the vehicle to the destination; when traveling along a first route included in the route and belonging to the first map, setting first driving control, while when traveling along a second route included in the route and belonging to the second map, setting second driving control with a lower level of autonomous driving than that of the first driving control; and creating a driving plan for the vehicle to travel along the route with contents of the set driving control. A driving control apparatus is based on the method.

An autonomous vehicle control system is provided. The control system may include a plurality of cameras to acquire a plurality of images of an area in a vicinity of a vehicle; and at least one processing device configured to: recognize a curve to be navigated based on map data and vehicle position information; determine an initial target velocity for the vehicle based on at least one characteristic of the curve as reflected in the map data; adjust a velocity of the vehicle to the initial target velocity; determine, based on the plurality of images, observed characteristics of the curve; determine an updated target velocity based on the observed characteristics of the curve; and adjust the velocity of the vehicle to the updated target velocity.

A traffic light detection system for a vehicle is provided. The system may include at least one processing device programmed to receive, from at least one image capture device, a plurality of images representative of an area forward of the vehicle, the area including a traffic light fixture having at least one traffic light. The at least one processing device may also be programmed to analyze at least one of the plurality of images to determine a status of the at least one traffic light, and determine an estimated amount of time until the vehicle will reach an intersection associated with the traffic light fixture. The at least one processing device may further be programmed to cause a system response based on the status of at least one traffic light and the estimated amount of time until the vehicle will reach the intersection.