Systems and methods for a materials handling vehicle configured to navigate along a warehouse environment inventory transit surface, the vehicle including control architecture in communication with a drive mechanism, a materials handling mechanism, a speed zone sensing subsystem configured to provide an indication of whether the vehicle is in a speed zone, and a speed control processor configured to prompt the operator to reduce a vehicle speed of the vehicle to under a speed zone limit when the vehicle speed is approaching or in the speed zone, determine whether the vehicle speed is under the speed zone limit in the speed zone, and apply a speed cap to limit a maximum vehicle speed of the vehicle to a magnitude that is at or below the speed zone limit when the speed control processor has determined that the vehicle speed is under the speed zone limit in the speed zone.

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.

An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

A vehicle may include a camera; a storage; and a controller electrically connected to the camera and the storage. The controller may be configured to obtain a front image of the vehicle from the camera by controlling the camera, in a response to obtaining the front image, to identify image data corresponding to a license plate of a front vehicle positioned in front of the vehicle from the front image, to identify a decrease in a distance between the vehicle and the front vehicle based on the image data and reference distance information corresponding to at least one reference image data of at least one reference license plate stored in the storage, to identify a change in height of the license plate of the front vehicle based on the image data, and based on the decrease in the distance between the vehicle and the front vehicle and the change in height of the license plate of the front vehicle, to identify a speed bump located in front of the vehicle.

A vehicle may include a camera; a storage; and a controller electrically connected to the camera and the storage. The controller may be configured to obtain a front image of the vehicle from the camera by controlling the camera, in a response to obtaining the front image, to identify image data corresponding to a license plate of a front vehicle positioned in front of the vehicle from the front image, to identify a decrease in a distance between the vehicle and the front vehicle based on the image data and reference distance information corresponding to at least one reference image data of at least one reference license plate stored in the storage, to identify a change in height of the license plate of the front vehicle based on the image data, and based on the decrease in the distance between the vehicle and the front vehicle and the change in height of the license plate of the front vehicle, to identify a speed bump located in front of the vehicle.

A vehicle (e.g., an agricultural vehicle or other off-road vehicle) comprising a track system can be monitored to obtain information regarding the vehicle, including information regarding the track system, such as one or more parameters (e.g., a temperature, a pressure, an acceleration, an identifier, etc.) of the track system and/or one or more characteristics of an environment of the track system (e.g., a compliance, a profile, a soil moisture level, etc. of the ground beneath the track system), which can be used for various purposes, such as, for example, to: convey the information to a user (e.g., an operator of the vehicle); control the vehicle (e.g., a speed of the vehicle, operation of a work implement, etc.); transmit the information to a remote party (e.g., a provider such as a manufacturer or distributor of the track system and/or of the vehicle; a supplier of a substance such as fertilizer used where the vehicle is located; etc.); control equipment (e.g., an irrigation system, a fertilizing system, etc.) external to the vehicle; etc.

A system and method in a building or vehicle for an actuator operation in response to a sensor according to a control logic, the system comprising a router or a gateway communicating with a device associated with the sensor and a device associated with the actuator over in-building or in-vehicle networks, and an external Internet-connected control server associated with the control logic implementing a PID closed linear control loop and communicating with the router over external network for controlling the in-building or in-vehicle phenomenon. The sensor may be a microphone or a camera, and the system may include voice or image processing as part of the control logic. A redundancy is used by using multiple sensors or actuators, or by using multiple data paths over the building or vehicle internal or external communication. The networks may be wired or wireless, and may be BAN, PAN, LAN, WAN, or home networks.

A system and method in a building or vehicle for an actuator operation in response to a sensor according to a control logic, the system comprising a router or a gateway communicating with a device associated with the sensor and a device associated with the actuator over in-building or in-vehicle networks, and an external Internet-connected control server associated with the control logic implementing a PID closed linear control loop and communicating with the router over external network for controlling the in-building or in-vehicle phenomenon. The sensor may be a microphone or a camera, and the system may include voice or image processing as part of the control logic. A redundancy is used by using multiple sensors or actuators, or by using multiple data paths over the building or vehicle internal or external communication. The networks may be wired or wireless, and may be BAN, PAN, LAN, WAN, or home networks.