An onboard hazard detection system for installing on a vehicle includes a processor that is configured to receive sensed data that is acquired by one or more sensors that are installed on the vehicle and that are configured to sense a topography of a region in the vicinity of the vehicle. The received data is analyzed to generate a three-dimensional map of the region based on the sensed data. One or more characteristics of an approach of the vehicle toward a cliff or safety barrier is calculated, based on the sensed data. The system detects when the calculated characteristics are indicative of a hazard and performs an action.

A method for managing a traffic situation associated with a road user and a turning combination vehicle. The combination vehicle comprises a first vehicle unit and a second vehicle unit. The method comprises obtaining sensor data indicative of traffic information from respective sides of the vehicle units from a set of sensors. The traffic information is indicative of respective turning motions of the vehicle units, and a position of the road user. The method further comprises determining respective trajectories of the vehicle units based on the respective turning motions of the vehicle units. The method further comprises establishing a region of interest extending along the determined trajectories. The method further comprises determining whether the position of the road user is within the established region of interest. The method further comprises, when the position of the road user is determined to be within the established region of interest, triggering preventive action.

A mining machine includes: a road gradient calculator that calculates a road gradient of a travel route based on a position and a speed measured by a GNSS receiver, a vehicle body posture measured by a vehicle body posture sensor, and an acceleration measured by an acceleration sensor; a traction coefficient calculator that calculates a traction coefficient based on the speed measured by the GNSS receiver, the acceleration measured by the acceleration sensor, a wheel speed measured by a wheel speed sensor, a steering direction measured by a steering angle sensor, a vehicle weight measured by a load sensor, and a driving torque measured by a driving torque sensor; and a target torque calculator that calculates a target torque based on the road gradient calculated by the road gradient calculator and the traction coefficient calculated by the traction coefficient calculator.

Provided is a control system for hauling vehicle capable of suppressing slippage of a hauling vehicle while suppressing a decrease in travel speed of the hauling vehicle. A control system for hauling vehicle causes a hauling vehicle 100 to travel based on a control target including a target route. The control system generates a control target based on the map information, which includes information on the travel path WP along which the hauling vehicle 100 travels and information on a plurality of travel sections TS obtained by dividing the travel path WP; the loading quantity on the hauling vehicle 100 in each travel section TS; and a slippage index indicating the slipperiness of the travel path WP in each travel section TS. If the slippage index SI of at least one travel section TS is less than the predetermined threshold, the control system sets a larger turning radius of the turning route included in the target route for that travel section TS than for the case where the slippage index is equal to or greater than the predetermined threshold.

The present invention relates to a braking system for a vehicle at least partially propelled by an electric traction motor, the braking system comprising an electric machine electrically connected to an electric source; an air flow producing unit mechanically connected to, and operated by, the electric machine; and an electrical brake resistor arrangement positioned in fluid communication between the air flow producing unit and an ambient environment, the electrical brake resistor arrangement being electrically connected to the electric source and arranged to heat air supplied from the air flow producing unit by electrical power received from the electric source, and to supply heated air to the ambient environment.

A method of activating cruise control for a vehicle in motion is described. The vehicle speed is continuously acquired. A maximum allowable speed on the path currently travelled by the vehicle is determined. A value V1 for a limit speed is selected based on and below the determined maximum allowable speed. A time range of T units of time is selected based on the maximum allowable speed. The average speed is continuously calculated based on the continuously acquired speed measurements for the most recent T units of time. Upon determination that the speed of the vehicle exceeds the value V1 and that during the most recent T units of time the speed has deviated less than or equal to a predefined allowable deviation from the last calculated average speed, the cruise control is automatically activated to operate the vehicle at said last calculated average speed.

A control unit for a heavy-duty vehicle, where the control unit is arranged to control the vehicle according to a mode of operation selected from at least three different modes of operation, wherein the mode of operation is configurable by a driver via a mode selection device, wherein a first mode of operation is a mode of operation wherein the vehicle is in an inactivated state, wherein a second mode of operation is a stand-by mode of operation where the vehicle is in an active state, and wherein the control unit is arranged to turn off a combustion engine of the vehicle in case a vehicle state meets a pre-determined power-down criterion, and wherein a third mode of operation is a mode of operation where the vehicle is in the active state.

The invention relates to a method for maintenance of a vehicle, comprising—determining (S2, S8) the position, in a fixed coordinate system, of at least one first part (2011, 4, 3011) of a vehicle, —characterized by determining (S3) the identity of the vehicle, —retrieving (S4, S10), by means of the vehicle identity, spatial data indicating how a second part (202, 2011, 4) of the vehicle is spatially related to the first part (201), and—determining (S8, S11) the position, in the fixed coordinate system, of the second part (202, 2011, 4) based at least partly on the first part position and the spatial data.

A through the road (TTR) hybridization strategy is proposed to facilitate introduction of hybrid electric vehicle technology in a significant portion of current and expected trucking fleets. In some cases, the technologies can be retrofitted onto an existing vehicle (e.g., a trailer, a tractor-trailer configuration, etc.). In some cases, the technologies can be built into new vehicles. In some cases, one vehicle may be built or retrofitted to operate in tandem with another and provide the hybridization benefits contemplated herein. By supplementing motive forces delivered through a primary drivetrain and fuel-fed engine with supplemental torque delivered at one or more electrically-powered drive axles, improvements in overall fuel efficiency and performance may be delivered, typically without significant redesign of existing components and systems that have been proven in the trucking industry.

In one embodiment, a method of operating an autonomous driving truck includes receiving location data from a first inertial measurement unit, a first global positioning system, a second inertial measurement unit, and a second global positioning system at a planning module of the autonomous driving truck. The first inertial measurement unit and the first global positioning system are attached to a cabin of the autonomous driving truck and the second inertial measurement unit and the second global positioning system are attached to a body structure of the autonomous driving truck in which the body structure extends away from the cabin. The method further includes receiving location data from the second inertial measurement unit and the second global positioning system at a control module of the autonomous driving truck and controlling the autonomous driving truck based on the received location data at the planning and control modules.