Automated training dataset generators that generate feature training datasets for use in real-world autonomous driving applications based on virtual environments are disclosed herein. The feature training datasets may be associated with training a machine learning model to control real-world autonomous vehicles. In some embodiments, an occupancy grid generator is used to generate an occupancy grid indicative of an environment of an autonomous vehicle from an imaging scene that depicts the environment. The occupancy grid is used to control the vehicle as the vehicle moves through the environment. In further embodiments, a sensor parameter optimizer may determine parameter settings for use by real-world sensors in autonomous driving applications. The sensor parameter optimizer may determine, based on operation of the autonomous vehicle, an optimal parameter setting of the parameter setting where the optimal parameter setting may be applied to a real-world sensor associated with real-world autonomous driving applications.

A golf course route guiding system includes a controller disposed on a vehicle and having a memory module, a positioning module, and a processing module. The memory module stores a field information of a golf course and a plurality of movement zones set corresponding to the field information. Each movement zone has a route range. The positioning module provides a location signal indicating a current location of the vehicle. The processing module receives the location signal and determines the movement zone in which the vehicle is located, and assigns a route range set in the corresponding movement zone, which is sent to the processing module, so that the processing module limits the vehicle to move in the assigned route range. When the vehicle enters another movement zone, the processing module reassigns a route range, achieving a dynamic route adjustment function.

Systems and methods are described that relate to a scanning laser system configured to emit laser light and an interlock circuit communicatively coupled to the scanning laser system. The interlock circuit may carry out certain operations. The operations include, as the scanning laser system emits laser light into one or more regions of an environment around the scanning laser system, determining a respective predicted dosage amount for each region based on the emitted laser light. The operations further include detecting an interlock condition. The interlock condition includes a predicted dosage amount for at least one region being greater than a threshold dose. In response to detecting the interlock condition, the operations include controlling the scanning laser system to reduce a subsequent dosage amount in the at least one region.

A GNSS drive control device includes: a power signal reception unit that is configured to receive a power-off signal for a GNSS controller, and a shutdown processing unit that is configured to perform shutdown processing of the GNSS controller after a predetermined time has elapsed from reception of the power-off signal.

An automatic traveling method includes causing a work vehicle to automatically travel according to a target route in a farm field, execute a spraying work of spraying a chemical liquid on crops, execute a stirring work of stirring the chemical liquid in a storage tank, and start the stirring work if a predetermined condition is satisfied before the work vehicle starts automatic travel.

A route determination method, a route determination system, and a route determination program are provided for determining a target route where a work vehicle can work while performing automatic traveling without damaging the topsoil of the work site.

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.

One aspect of the present invention pertains to a method of charging electric storage devices such as batteries. Another aspect of the present invention pertains to a system for charging electric storage devices such as batteries. Another aspect of the present invention pertains to a mobile apparatus for charging electric storage devices such as batteries.

A movable carrier auxiliary system includes at least one optical image capturing system disposed on a movable carrier, at least one warning module, and at least one displaying device. The optical image capturing system includes an image capturing module and an operation module, and has at least one lens group including at least two lenses having refractive power. The image capturing module captures and produces an environmental image surrounding the movable carrier. The operation module electrically connected to the image capturing module detects at least one lane marking in the environmental image to generate a detecting signal. The warning module electrically connected to the operation module receives the detecting signal to determine whether a moving direction of the movable carrier deviates from a lane, and generate a warning signal when the moving direction deviates from the lane. The displaying device electrically connected to the warning module displays the warning signal.

A system and method of navigating a vehicle, the vehicle comprising a scanning device and a self-contained navigation system (SCNS) operatively connected to a computer, the method comprising: operating the scanning device for repeatedly executing a scanning operation, each operation includes scanning an area surrounding the vehicle, thereby generating respective scanning output data; operating the computer for generating, based on the scanning output data, a relative map representing at least a part of the area, the map having known dimensions and being relative to a position of the vehicle, wherein the map comprises cells, each cell classified to a class from at least two classes, comprising traversable and non-traversable, and characterized by dimensions equal or larger than an accumulated drift value of the SCNS; wherein non-traversable cells correspond to identified obstacles; receiving SCNS data and updating a position of the vehicle relative to the cells based on the SCNS data.