A materials handling vehicle includes: a power unit including: a steered wheel, and a steering device for generating a steer control signal; a load handling assembly coupled to the power unit; a controller located on the power unit for receiving the steer control signal; and a sensing device on the power unit and coupled to the controller. The sensing device monitoring areas in front of and next to the vehicle. Based on sensing device data, the controller may modify at least one of the following vehicle parameters: a maximum allowable turning angle or a steered-wheel-to-steering-device ratio.

A method is provided for controlling a light source device associated with a materials handling vehicle, wherein the materials handling vehicle includes one or more sensing devices, comprising: sensing via the one or more sensing devices a first distance from a left side of the vehicle to a first boundary object and a second distance from a right side of the vehicle to a second boundary object; controlling the light source device to designate a first area to the left side of the vehicle as either a limited operation area or a non-limited operation area and to designate a second area to the right side of the vehicle as either a limited operation area or a non-limited operation area.

A materials handling vehicle includes a power unit, a load handling assembly and a positioning assistance system that provides assistance to an operator that is driving the vehicle. The assistance provided by the positioning assistance system includes at least one of an audible, tactile, or visual cue to indicate at least one of: a distance from the vehicle to a boundary object; or a heading of the vehicle with respect to the boundary object.

The technology relates to the prediction and handling of tire blowouts for vehicles operating in a self-driving (autonomous) mode. Aspects involve determining a likelihood of tire failure, including actions the vehicle may take to reduce the likelihood of failure. Pre-trip and real-time system checks can be taken. A vehicle model including the tires may be employed in blowout prediction. The on-board system may store received data and detected sensor regarding tire pressure and temperature, which can be evaluated based on the model in order to avoid or minimize the likelihood of a blowout given various factors. The factors can include the load weight and distribution of cargo, current and upcoming weather conditions on the route, the number of miles traveled per tire, and detected obstructions, such as potholes, debris or other roadway impairments. Should a blowout occur, the autonomous system may immediately take any necessary corrective action.

A method for monitoring the travel path of an industrial truck, comprising the steps of: determining a braking distance of the industrial truck on the basis of at least one operating parameter of the industrial truck, adjusting a travel path area monitored by a monitoring device on the basis of the determined braking distance by adjusting the alignment of the monitoring device, decelerating the industrial truck when an obstacle enters the travel path.

A vehicle includes a vehicle controller communicating over a first communication system with actuators for changing the state of vehicle systems. A signal module communicates with the vehicle controller via the first communication system. One or more signal sources communicate with the signal module via a second communication system, and transmit signals to the signal module. Based on one or more signals and one or more user inputs, the signal module generates and transmits control signals to the vehicle controller. The vehicle controller actuates the actuator based on the control signal.

Controlling a maximum vehicle speed for an industrial vehicle includes determining, by a processor of the industrial vehicle, a torque applied to the traction wheel of the industrial vehicle; converting the torque to an equivalent force value; and determining an acceleration of the industrial vehicle while the torque is applied to the traction wheel. Additional steps include calculating a load being moved by the industrial vehicle, based at least in part on the acceleration and the equivalent force value; and controlling the maximum speed of the industrial vehicle based on the calculated load being moved by the industrial vehicle.

A braking system of an industrial vehicle includes an accumulator accumulating hydraulic oil, a hydraulic oil cooler cooling the hydraulic oil, an electromagnetic switch valve switching between an oil channel for the accumulator that allows supplying the hydraulic oil from a hydraulic pump to the accumulator and an oil channel for the hydraulic cooler that allows supplying the hydraulic oil from the hydraulic pump to the hydraulic oil cooler, and a controller controlling the electromagnetic switch valve to switch from the oil channel for the hydraulic cooler to the oil channel for the accumulator with timing of an increase after a drop in an engine speed when a cargo-handling operation is detected while an oil is at a setting pressure value or less and while the engine speed is at a setting engine speed or less.

In embodiments, an automatic guided vehicle includes a vehicle, a lift unit, a bumper, an extension detector, and a bumper controller. The vehicle is movable in at least a first direction. The lift unit is provided in the vehicle and lifts an object from below the object. The bumper is provided in the vehicle and is extendable and contractible in the first direction. The extension detector detects that the bumper has extended outward from the object in the first direction. The bumper controller controls a state of the bumper according to a conveyance state of the object by the vehicle.

A system for automated driver assistance, comprising a plurality of sensors configured to generate sensor data, a vehicle controller configured to generate vehicle speed data, vehicle braking data, vehicle control commands and vehicle braking commands and a processor operating under algorithmic control and configured to receive the sensor data and the vehicle speed data, to process the sensor data and the vehicle speed data to generate control data, and to transmit the control data to the vehicle controller to cause the vehicle controller to generate the vehicle speed commands and the vehicle braking commands.