Abstract: A driver assistance system has an emergency stopping function for a motor vehicle. The driver assistance system is designed to perform an automated lane change from a first lane to a second lane when the emergency stopping function is triggered. The driver assistance system is further designed to determine at least one road characteristic and/or at least one vehicle interior characteristic and, based on the determined at least one road characteristic and/or the vehicle interior characteristic, to decide whether to execute the lane change.

Abstract: The present disclosure provides systems and methods for detecting a load on at least one fork of a material handling vehicle. The systems and methods can comprise a housing; at least one sensor positioned within the housing; a sensor arm pivotally coupled to the housing; at least one sensor flag integral with or coupled to the inside of the sensor arm; and wherein when the sensor arm pivots inward toward the housing the at least on sensor flag triggers the at least one sensor to identify at least a first load position and a second load position.

Abstract: A braking control device for controlling braking of a host vehicle. For a state in which a host vehicle is stopped in an intersection by automatic emergency braking and an oncoming vehicle is approaching in an oncoming lane, the host vehicle prohibits secondary braking is prohibited in, flashes a hazard lamp, and prohibits an idling stop. For a state in which it is determined in that the vehicle is stopped and it is determined in that it is safe for the vehicle to start moving, the host vehicle releases stop maintenance braking.

Abstract: A vehicle motion control method controls a motion state of a vehicle during a vehicle transient motion in which an acceleration in a lateral direction is generated in the vehicle. The vehicle motion control method includes: setting a corrected longitudinal acceleration for correcting a basic longitudinal acceleration determined in accordance with a required driving force for traveling of the vehicle; and determining a target longitudinal acceleration from the basic longitudinal acceleration and the corrected longitudinal acceleration, and operating a traveling actuator of the vehicle based on the target longitudinal acceleration. A direction and a magnitude of the corrected longitudinal acceleration are determined from a viewpoint of suppressing a change in a posture of an occupant of the vehicle in a roll direction.

Abstract: In a driving assistance control apparatus for a vehicle, an acquirer acquires a detected traveling state of the vehicle and a detected traveling state of another vehicle. A controller determines whether to perform braking assistance using a deterministic indicator for collision including at least one of a time, a distance, and a required deceleration to collision with the other vehicle and a deterministic indicator for crossing including at least one of a time, a distance, and a required deceleration to reaching a path of travel of the other vehicle. The deterministic indicator for collision and the deterministic indicator for crossing are acquired using the acquired traveling state of the vehicle and the acquired traveling state of the other vehicle. Further, in response to determining to perform the braking assistance, the controller causes a driving assistance unit to perform the braking assistance.

Abstract: A system includes an electronic control unit (ECU) having a housing and configured to be disposed within an interior of an autonomous vehicle. The system also includes an inertial measurement unit (IMU) rigidly disposed with the housing of the ECU. The system also includes a processor configured to receive measurement data from the IMU. The IMU and the processor is powered by a battery separate from a power source of the ECU. The processor is configured to identify a tamper event of the ECU based on the measurement data from the IMU. The processor is also configured to send a signal to cause a tamper response of the tamper event.

Abstract: Methods and systems for predictive control of an autonomous vehicle are described. Predictions of lane centeredness and road angle are generated based on data collected by sensors on the autonomous vehicle and are combined to determine a state of the vehicle that are then used to generate vehicle actions for steering control and speed control of the autonomous vehicle.

Abstract: Embodiments provide a vehicle computer coupled to a vehicle. The vehicle computer may be configured to compute (e.g., generate) an automated lane change maneuver moving the vehicle from a first lane into a second, adjacent lane. The lane change maneuver may have commenced while the maneuver was safe to conduct, but a threat vehicle (or another threat object) may be subsequently detected moving into the same target lane. The option to immediately abort the maneuver and return to the original lane may not be appropriate after some time into the lane change maneuver. The vehicle computer may control the vehicle in a lateral position hold along the lane demarcation line for a predetermined amount of time before moving into the second lane when the threat vehicle clears the second lane or returning to the first lane when the threat vehicle does not clear the second lane.

Abstract: A method for processing inflation defects of a tyre of a vehicle is disclosed, the tyre being equipped with sensors for measuring the pressure and the temperature of the internal cavity of said tyre. The pressure and the temperature of the internal cavity of the tyre are measured periodically and, as soon as an inflation defect of a tyre is detected, an alert is signalled to the driver of the vehicle, in which there is also transmitted to the driver of the vehicle a maximum speed setpoint: which, when the measured inflation pressure of the tyre is greater than or equal to a first inflation pressure threshold value p1, is a first maximum speed setpoint value V1; and which, when the measured inflation pressure of the tyre is less than said first pressure threshold value p1 and greater than or equal to a second pressure threshold value p2, decreases as a function of said measured inflation pressure of the tyre.

Abstract: A controller mounted in a hydraulic excavator includes: a state transition section that performs switchover between two types of control that are manual control and semiautomatic control, on the basis of input of a state switching signal; and a velocity transition section that changes a rate of change with time in a velocity of a boom cylinder from a first rate of change I1 to a second rate of change I2 greater than the first rate of change I1 in a case in which input to an operation lever changes since the state transition section switches over between the two types of control until the velocity of the boom cylinder changes to a velocity Vo(t) specified by the control after the switchover between the two types of control.

Abstract: A vehicle comprises an autonomous driving system and a vehicle platform that controls the vehicle in response to a command received from the autonomous driving system. In the present vehicle, when the autonomous driving system issues a first command to request the vehicle platform to provide deceleration to stop the vehicle and a first signal indicates 0 km/h or a prescribed velocity or less, the autonomous driving system issues a second command to request the vehicle platform to maintain stationary. And after brake hold control is finished, a second signal indicates standstill. Until the second signal indicates standstill, the first command continues to request the vehicle platform to provide deceleration.

Abstract: A travel assistance method for performing a lane change of a host vehicle includes: detecting an oncoming vehicle traveling in an opposite lane from which the host vehicle travels when the host vehicle starts the lane change; determining a crossing point between a virtual advancing route and a linear advancing route in which the oncoming vehicle advances linearly, the virtual advancing route being a virtual extension of an advancing route of the host vehicle during a period from start to end of the lane change; executing a lane change using the route and the vehicle speed in a case where a time difference between a first predicted time and a second predicted time is outside a predetermined range; and when within the predetermined range, executing a lane change by changing at least one of the route and the vehicle speed such that the time difference is outside the predetermined range.

Abstract: A vehicle collision prediction apparatus, installable to a host vehicle that is equipped with a peripheral sensor for detecting a preceding vehicle, includes a collision prediction region setting section that sets a collision prediction region in front of the host vehicle and a collision prediction section which predicts that there is a probability of a collision between the host vehicle and the preceding vehicle if the preceding vehicle is within the collision prediction region; wherein in response to the preceding vehicle satisfying predetermined U-turn conditions for estimating that the preceding vehicle is executing a U-turn, the collision prediction region setting section expands the collision prediction region, making the collision prediction region larger than in response to the preceding vehicle not satisfying the U-turn conditions.

Abstract: A system and method for an on-demand shuttle, bus, or taxi service able to operate on private and public roads provides situational awareness and confidence displays. The shuttle may include ISO 26262 Level 4 or Level 5 functionality and can vary the route dynamically on-demand, and/or follow a predefined route or virtual rail. The shuttle is able to stop at any predetermined station along the route. The system allows passengers to request rides and interact with the system via a variety of interfaces, including without limitation a mobile device, desktop computer, or kiosks. Each shuttle preferably includes an in-vehicle controller, which preferably is an AI Supercomputer designed and optimized for autonomous vehicle functionality, with computer vision, deep learning, and real time ray tracing accelerators. An AI Dispatcher performs AI simulations to optimize system performance according to operator-specified system parameters.

Abstract: First to third inertial sensors (16, 17, 18) are respectively mounted on a boom (5A), an arm (5B) and a bucket (5C) to rotate in coordinate axes different from each other at the time of operating the boom (5A). In a case where the boom (5A) is operated in a state where a traveling operation pressure Pa and a revolving operation pressure Pb are equal to or less than respective preset operation pressure threshold values, a controller (20) makes a determination on which movable part of the boom (5A), the arm (5B) and the bucket (5C) each of the inertial sensors (16, 17, 18) is mounted, based upon sensor outputs outputted from the inertial sensors (16, 17, 18). The controller (20) sets a corresponding relation between each of the boom (5A), the arm (5B) and the bucket (5C) and each of the inertial sensors (16, 17, 18) based upon the determination result.

Abstract: A driver assistance system for a motor vehicle for automated driving includes automated longitudinal guidance, wherein, when automated longitudinal guidance is active in an automatic mode, automated longitudinal guidance is initiated in consideration of a predefinable setpoint speed.

Abstract: The present disclosure relates to a method of generating a target operational speed band (53; 63; 67) for a host vehicle (1) travelling along a route. A first time-dependent obstacle (15-n, 18-n) is identified at a first location on the route. The first time-dependent obstacle (15-n, 18-n) is identified as hindering progress of the host vehicle (1) during a first time period (11). The first time-lin dependent obstacle (15-n, 18-n) is defined in a two-dimensional speed against distance map (50, 60). A first speed trajectory (51, 52; 61; 65, 66) is determined from a first point to a second point within the two-dimensional speed against distance map (50, 60). The second point represents the first location on the route and the determined first speed trajectory (51, 52; 61; 65, 66) represents the host vehicle (1) arriving at the first location at a first arrival time.

Abstract: Provided are a driving assistance system and method. The driving assistance system is for interfacing with an individual vehicle and includes: a camera system that generates image information about the surroundings of the vehicle; a vehicle controller that generates driving information about the vehicle; and a communication port. The driving assistance system includes a driving assistance terminal and/or mobile device that are/is connected to the communication port, acquire(s) image information and/or driving information by using the communication port, and execute(s) at least a portion of a travel program for the driving assistance terminal and/or mobile device on the basis of an image and/or driving information for controlling the vehicle with respect to one or more of auxiliary travels and/or autonomous operations of the vehicle through a control signal generated by the driving assistance terminal or the mobile device and provided to the vehicle.

Abstract: Systems and methods for controlling an autonomous vehicle are disclosed herein. One embodiment determines a reference path for the autonomous vehicle along a roadway segment and steers the autonomous vehicle along a path that includes controlled back and forth lateral deviations from the reference path along the roadway segment to provide feedback to an occupant of the autonomous vehicle, the feedback indicating to the occupant that the autonomous vehicle is in an autonomous driving mode and that the autonomous driving mode is operating correctly.

Abstract: Methods and systems are provided for providing a runway awareness system for an aircrew of an aircraft. The method comprises receiving a first data stream that provides operational characteristics of a primary aviation parameter on approach to the runway. A second data stream is also received that provides operational characteristics of an alternative aviation parameter on approach to the runway. The first data stream and the second data stream are then displayed in a comparative layout format on a flight display for the aircrew of the aircraft during the approach to the runway.