A path generating method includes setting a moving direction at each of two positions, setting a first turning circle with one of the positions as a contact point and the moving direction as a turning direction, setting a second turning circle that is within a specific area, setting a Dubins path that starts from a predetermined point of the second turning circle or ends at the predetermined point, and selecting, as a movement path, a path that is within the specific area among paths each including the first turning circle and the Dubins path.

Disclosed is a self-driving-golf-cart driving path central controlling device comprising a self-driving-golf-cart driving path determining module, a self-driving-golf-cart driving path excluding module and a central controlling module, the self-driving-golf-cart driving path central controlling device determines, from a plurality of self-driving-golf-cart driving paths, an individual self-driving-golf-cart driving path for each self-driving-golf-cart and controls each self-driving-golf-cart to drive, in a self-driving manner, on the individual self-driving-golf-cart driving path which is determined for said each self-driving golf-cart.

A processing system for a motorized mobile system includes at least one sensor to measure one or more kinematic states of an object and at least one processor to use at least one state estimation filter and at least one object kinematic model to predict a first kinematic state estimate of the object and output the first predicted kinematic state estimate for use by at least one other process of the motorized mobile system. The processor uses the first predicted kinematic state estimate and the one or more measured kinematic states to determine a second kinematic state estimate of the object and uses the second kinematic state estimate as an input to the state estimation filter to predict another kinematic state estimate of the object.

A autonomous robotic golf caddy which is capable of following a portable receiver at a pre-determined distance, and which is capable of sensing a potential impending collision with an object in its path and stop prior to said potential impending collision.

A charge control system includes a lithium battery configured to provide lithium battery power to a set of electrical loads, a user signaling device, and control circuitry coupled with the lithium battery and the user signaling device. The control circuitry is operative to: (A) detect availability of charge from an external charger, (B) in response to detection of the availability of charge from the external charger and prior to controlling the external charger to adjust the amount of charge stored by the lithium battery, perform a set of pre-charging assessment operations, and (C) based on the set of pre-charging assessment operations, provide a user notification via the user signaling device, the user notification indicating whether the lithium battery is properly setup for charge adjustment. When the user signaling device generates the user notification, the user is informed that the utility vehicle is properly connected to the external charger.

A main body of a ball collecting and discharging machine includes a traveling portion and a ball collecting and discharging portion to collect and discharge balls. A controller causes the ball collecting and discharging portion to collect the balls scattered in a ball scattered area while causing the traveling portion to cause the main body to travel along a ball collecting route in the ball scattered area. When the ball collecting and discharging portion reaches a state of being ready to discharge balls during or after ball collecting work, the controller causes the traveling portion to cause the main body to travel along the ball discharging route and causes the ball collecting and discharging portion to discharge balls at the ball discharging site.

Embodiments for an intelligent electric low speed vehicle (LSV) with a reconfigurable payload structure are described. A plurality of operational profiles respectively associated with a plurality of payload configurations are stored. A first payload configuration from the plurality of payload configurations is determined based on a first payload capability requirement for the LSV. The LSV configured with the first payload configuration is controlled with a first operational profile of the plurality of operational profiles to traverse a first area with a minimal environmental impact. The first operational profile is associated with the first payload configuration.

A processing system is for a motorized mobile system that provides powered mobility to one or more users. The motorized mobile system may consist, for example, of one or more of a mobile chair, a mobility scooter, an electronic conveyance vehicle, a riding lawn mower, a grocery cart, an all-terrain vehicle, an off-road vehicle, and a golf cart. The processing system comprises at least one sensor to measure one or more kinematic states of an object proximate to the motorized mobile system and at least one processor to use at least one object kinematic model as at least one state estimator. The at least one processor predicts a first kinematic state estimate of the object at a first time based on a prior knowledge of state for the object. The at least one processor uses the first kinematic state estimate of the object at the first time and a measured kinematic state observed by the sensor at a second time to determine a second kinematic state estimate of the object at the second time, wherein the first time is less than the second time. The at least one processor outputs the first kinematic state estimate at the first time from the object kinematic model for use by at least one other process of the motorized mobile system, wherein the at least one other process causes one or more actions to be taken by the motorized mobile system based on the first kinematic state estimate of the object at the first time. The at least one processor uses the second kinematic state estimate at the second time as an input to the object kinematic model to predict another kinematic state estimate of the object.

There is provided a dispersed object collection apparatus including an electric machine configured to run by itself along a set running route is an activity area. The machine is caused to start from a collection place and run by itself is a set working area to accommodate dispersed objects dispersed in the working area into an accommodation section provided in or outside the machine and collect the dispersed objects is the collection place. The working area is set as a closed region along outer edges of the dispersed objects in an aggregation region in which a plurality of dispersed objects are close together.

A golf cart system for enabling a golf cart to autonomously operate includes a cart main body, a control module, a server, and a terminal. More specifically, when the terminal deviates from its original location where transmission and reception to and from a golf cart are performed or the terminal deviates from a driving restricted area or driving area within a driving area set in the golf cart, the golf cart is automatically stopped. When the terminal enters the driving area again, an accurate location of the terminal is confirmed using a distance value having a minimized error range using a trilateration algorithm, and the golf cart can move rapidly.