Abstract: A cruise control algorithm including receiving a set speed and a minimum speed, generating a first control signal indicative of a first engine torque request, controlling a vehicle to maintain the set speed in response to the first engine torque request, detecting a vehicle pitch, detecting the vehicle speed, generating a second control signal indicative of the first engine torque request in response to the vehicle pitch being greater than zero degrees and the vehicle speed being greater than the minimum speed, controlling the vehicle to maintain a first engine torque in response to the first engine torque request, generating a third control signal indicative of a second engine torque request in response to the vehicle pitch being greater than zero degrees and the vehicle speed being less than the minimum speed, and controlling the vehicle to maintain the minimum speed in response to the third engine torque request.

Abstract: An ADS performs processing including setting an initial value of a wheel steer angle command when an autonomous state has been set to an autonomous mode, obtaining a limitation of a rate, setting a wheel steer angle limitation as the wheel steer angle command when magnitude of the initial value is larger than the wheel steer angle limitation, and transmitting the wheel steer angle command.

Abstract: A map data output device includes: a map storage that stores map data that represents lane network information; a position determination portion that determines a current position of a vehicle; a read processing portion that reads the map data of an area established based on the current position; a control map generation portion that generates control map data obtained by adding information to the map; and an output portion that outputs the control map data to a vehicle control device.

Abstract: Techniques for determining behavior profiles and unique identities for objects observed in an environment surrounding an autonomous vehicle are described. The behavior profiles may be generated and associated with unique identifiers that are stored and used by a fleet of vehicles for planning and navigating in traffic environments. The behavior profiles may be used to control operation of the vehicle and increase safety of the vehicle by identifying potentially risky or erratic objects and navigating through the environment accordingly. The behavior profiles may be stored at a central database and propagated across a fleet to increase observations used to build profiles and thereby increase profile confidence.

Abstract: A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to: receive sensor data representing a perceived driving environment, select a reinforcement learning agent from a plurality of reinforcement learning agents based on a challenge score calculated using the sensor data and a desired driving style, and generate, via the selected reinforcement learning agent, a driving action based on the sensor data.

Abstract: A method for controlling an acceleration rate of a vehicle includes monitoring a first current speed and a first acceleration rate of the vehicle based on the vehicle moving from a standstill. The method also includes setting an initial target acceleration rate to an adjusted target acceleration rate based on the first acceleration rate satisfying a first acceleration adjustment condition and the first current speed satisfying a second acceleration adjustment condition. The method further includes monitoring a second acceleration rate and a second current acceleration rate of the vehicle based on setting the initial target acceleration rate to the adjusted target acceleration rate. The method still further includes setting the adjusted target acceleration rate to the initial target acceleration rate based on the second acceleration rate satisfying a first target acceleration condition or the second current speed satisfying a second target acceleration condition.

Abstract: System and techniques for test verification of a control system (e.g., a vehicle safety system) with a vehicle operation safety model (VOSM) such as Responsibility Sensitive Safety (RSS) are described. In an example, using test scenarios to measure performance of VOSM includes: defining safety condition parameters of a VOSM for use in a test scenario configured to test performance of a safety system; generating a test scenario, using the safety condition parameters, the test scenario generated as a steady state test, a dynamic test, or a stress test; executing the test scenario with a test simulator, to produce test results for the safety system; measuring real-time kinematics of the safety system, during execution of the test scenario, based on compliance with the safety condition parameters; and producing a parameter rating for performance of the safety system with the VOSM, based on the test results and the measured real-time kinematics.

Abstract: The disclosure relates to a vehicle velocity control method. The method includes: determining, by an onboard sensor, drivable distances in different directions in front of a current vehicle, and obtaining, at least based on types of targets in the different directions, an area of a drivable space in front of the current vehicle; determining, based on the area of the drivable space and a current vehicle velocity, a result of a safety degree in a current driving scenario; and controlling the vehicle velocity of the current vehicle based on the result of the safety degree. The disclosure further relates to a vehicle control device, a computer storage medium, and a vehicle.

Abstract: An embodiment vehicle includes a sensor configured to measure a current acceleration of the vehicle and a controller configured to derive a target acceleration value based on a surrounding environment of the vehicle, derive a first acceleration value based on an acceleration performance of the vehicle, determine a second acceleration value based on a predetermined limit value and the first acceleration value, determine a final target acceleration value based on the target acceleration value and the second acceleration value, and cause the current acceleration of the vehicle to be changed based on the final target acceleration value.

Abstract: An autonomous driving device includes an execution network configured to determine a target speed of a driving vehicle according to state information history including a plurality of state information for road environment. The plurality of state information are generated at a plurality of times. The execution network includes a spatial attention network configured to receive the state information history and to generate feature data reflecting spatial importance based on the state information history; and a temporal attention network configured to determine the target speed of the driving vehicle by applying temporal importance to an output of the spatial attention network.

Abstract: A heavy-duty vehicle includes a chassis, a wheel supporting the chassis, a drive system, a service brake, a drive system controller, and a service brake controller. The drive system includes a motor associated with the wheel. The motor is configured to propel the wheel and to apply a dynamic brake torque to the wheel. The service brake is associated with the wheel and configured to apply a service brake torque to the wheel. The drive system controller controls operation of the motor. The drive system controller selectively modulates the dynamic brake torque to the wheel based on traction conditions. The service brake controller controls operation of the service brake. The service brake controller may selectively modulate the service brake torque to the wheel based on the traction conditions. Modulation of the dynamic brake torque may be disabled during modulation of the service brake torque.

Abstract: A method of controlling a mobile agricultural machine that includes detecting a target value setting input identifying a target metric value for a quality metric representing a performance characteristic of the mobile agricultural machine and having an inverse relationship to machine speed, receiving machine data indicative of operating parameters on the mobile agricultural machine, generating, based on the machine data, a current metric value for the quality metric, determining a target machine speed based on the current metric value relative to the target metric value, and outputting a control instruction that controls the mobile agricultural machine based on the target machine speed.

Abstract: In a vehicle speed limiter in which an electronic control unit that controls a drive force of an engine based on at least an accelerator opening controls a drive force of a vehicle so that a vehicle speed does not exceed a speed limit, the electronic control unit is configured to allow the vehicle speed to be equal to or higher than the limit vehicle speed and control the drive force generated by the engine based on the accelerator opening when the accelerator opening becomes a value equal to or larger than a increase reference value larger than a decrease reference value after the accelerator opening has decreased to a value equal to or smaller than the decrease reference value within a predetermined time from a time point when the vehicle speed limitation is released during the vehicle speed limitation being executed by the speed limiting control.

Abstract: A speed of a target vehicle in a target lane of operation is determined relative to a host vehicle in a host lane of operation. A virtual boundary is determined around the target vehicle based on the speed of the target vehicle. A position in the target lane and outside the virtual boundary is selected based on a) a first cost function for a deviation of a speed of the host vehicle from a requested speed, and b) a second cost function for a frequency of lane changes. Upon determining to move the host vehicle from the host lane to the target lane, the host vehicle is operated to the position in the target lane.

Abstract: When another pump is actuated while a pump is de-actuated, a pressure adjustment valve is brought into a valve-opened state after a shut-off valve is actuated in a valve-opening direction and the another pump is actuated.

Abstract: The present invention obtains a controller and a control method capable of appropriately executing adaptive cruise control for a straddle-type vehicle while securing a driver's comfort. In the controller and the control method according to the present invention, when braking forces are generated on wheels of the straddle-type vehicle during adaptive cruise control, in which the straddle-type vehicle is made to travel according to a distance from the straddle-type vehicle to a preceding vehicle, motion of the straddle-type vehicle, and the driver's instruction, at a braking start time point at which the braking force starts being generated on each of the wheels, braking force distribution between the front and rear wheels is brought into an initial state where the braking force generated on the rear wheel is larger than the braking force generated on the front wheel.

Abstract: A control device controls vehicle functions and has a largely fixed moveable object that can be actively operated by a person for the purpose of control. The object floats over a controlled magnetic field. A sensor is detects a displacement of the object by a person from its neutral position.

Abstract: A method of providing automated control of vehicle speed in a driver assist mode may include receiving an operator selection of the driver assist mode and a target speed, monitoring vehicle speed, and generating a propulsive torque request and a braking torque request based on a difference between the target speed and the vehicle speed. The method may further include, responsive to vehicle speed being in a selected range from zero to about three miles per hour, initiating a low speed correction to automatically provide a variable modification to the propulsive torque request or the braking torque request.

Abstract: The technology relates to determining general weather conditions affecting the roadway around a vehicle, and how such conditions may impact driving and route planning for the vehicle when operating in an autonomous mode. For instance, the on-board sensor system may detect whether the road is generally icy as opposed to a small ice patch on a specific portion of the road surface. The system may also evaluate specific driving actions taken by the vehicle and/or other nearby vehicles. Based on such information, the vehicle's control system is able to use the resultant information to select an appropriate braking level or braking strategy. As a result, the system can detect and respond to different levels of adverse weather conditions. The on-board computer system may share road condition information with nearby vehicles and with remote assistance, so that it may be employed with broader fleet planning operations.

Abstract: A method is provided for operating a materials handling vehicle comprising: monitoring, by a processor, vehicle acceleration in a direction of travel of the vehicle during a manual operation by an operator of the vehicle when the vehicle is traveling in a first vehicle orientation; collecting and storing, by the processor, data related to the monitored vehicle acceleration; receiving, by the processor, a request to implement a semi-automated driving operation; calculating, by the processor, a maximum vehicle acceleration based on acceleration data comprising the stored data, wherein the data related to the monitored vehicle acceleration used in calculating the maximum vehicle acceleration comprises only the vehicle acceleration data in the direction of travel of the vehicle collected when the vehicle is traveling in the first vehicle orientation. Based at least in part on the maximum vehicle acceleration, controlling, by the processor, implementation of the semi-automated driving operation.

Abstract: A longitudinal driver assistance system is provided in a motor vehicle. A first detection system identifies a first event which, starting from an actual speed, leads to the specification of an increased target speed at a predefined location-dependent first moment in time, and for identifying a subsequent second event which, starting from the increased target speed, leads to the specification of a target speed that is reduced in relation thereto at a predefined location-dependent second moment in time. A second detection system identifies, in an anticipatory manner, a predefined deceleration potential starting from the increased target speed to the reduced target speed. A functional unit reduces the acceleration to the increased target speed if, otherwise, the subsequent deceleration to the reduced target speed with the predefined deceleration potential cannot be completed at the location-dependent moment in time of the second event.

Abstract: There is provided a collision avoidance method of a moving body collision avoidance device including acquiring a driving image of the moving body, recognizing an object in the acquired driving image using a neural network model, calculating a relative distance between the moving body and the object based on the recognized object, calculating a required collision time between the object and the moving body based on the calculated relative distance, and controlling an operation of the moving body based on the calculated required collision time.

Abstract: The invention relates to drones for a combat game, preferably a drone (1) and at least one opponent drone (2), said drones comprising radio control means, signal transmitters, receivers, and cameras. The invention further relates to a system for a combat game, the system comprising a drone (1) comprising a weapon (3), and at least one opponent drone (2) comprising an opponent weapon (4), wherein the drones are equipped with radio control means, signal transmitters, signal receivers and cameras.

Abstract: System, methods, and other embodiments described herein relate to accurately distinguishing a traffic light from other illuminated objects in the traffic scene and detecting states using hierarchical modeling. In one embodiment, a method includes detecting, using a machine learning (ML) model, two-dimensional (2D) coordinates of illuminated objects identified from a monocular image of a traffic scene for control adaptation by a control model. The method also includes assigning, using the ML model, computed probabilities to the illuminated objects for categories within a hierarchical ontology of environmental lights associated with the traffic scene, wherein one of the probabilities indicates existence of a traffic light instead of a brake light in the traffic scene. The method also includes executing a task by the control model for a vehicle according to the 2D coordinates and the computed probabilities.

Abstract: An automatic cruise control system for controlling at least a powertrain of a vehicle, the cruise control system being configured to automatically control a vehicle speed to a target speed determined based on a set speed and on information relating to a road topography along an expected travelling route of the vehicle. The automatic cruise control system is configured to: while automatically controlling the vehicle speed to the target speed, receive an indication that a slippery road condition applies or is expected to apply, in response to receiving said indication, activate a predefined slippery road condition driving mode in which predetermined restrictions apply, said restrictions relating to at least one of the vehicle speed, an allowable vehicle acceleration, and a gear selection of the powertrain, control at least the powertrain in accordance with the slippery road condition driving mode.

Abstract: While an autonomous mode is activated, a vehicle is operated based on operating parameters for the autonomous mode. The operating parameters include at least one of a vehicle speed or a following distance. Upon detecting a user input to control vehicle operation, vehicle operation is transitioned to a nonautonomous mode, and a count of a number of received user inputs to control vehicle operation is incremented. Upon determining that the count of received of user inputs to control vehicle operation is greater than a threshold, the operating parameters for the autonomous mode are updated. Then, upon determining to transition from the nonautonomous mode to the autonomous mode, the vehicle is operated based on the updated operating parameters.

Abstract: A vehicle control method executed by a processor for controlling a subject vehicle includes: acquiring, from a sensor for detecting a state of surroundings of the subject vehicle, detection data of another vehicle traveling in an adjacent lane adjacent to a travel lane in which the subject vehicle is traveling, and setting, on the adjacent lane, a target point for the subject vehicle to change a lane from the travel lane to the adjacent lane based on a position relationship between the subject vehicle and the other vehicle, specifying the other vehicle that is located behind the target point as a rear vehicle, and starting blinking of the direction indicator of the subject vehicle when a rear end of the subject vehicle is located ahead of the front end of the rear vehicle.

Abstract: An object-tracking method using a LiDAR sensor may include forming a first inclination using GPS altitude points of a vehicle driving region, detecting a driving lane using LiDAR points of a vehicle and determining a second inclination using the detected driving lane, rotating the GPS altitude points using the first inclination and the second inclination, obtaining a third inclination using a target point and a neighboring point, among the LiDAR points, the neighboring point belonging to a previous layer adjacent to a current layer to which the target point belongs, obtaining a fourth inclination using points that match the LiDAR points, among the rotated GPS altitude points, and determining the target point to be a ground point when the absolute value of the difference between the third inclination and the fourth inclination is less than a threshold inclination.

Abstract: A travel control device assists automatic traveling of a vehicle by controlling a target vehicle speed, which is a target value of an actual vehicle speed, when making the vehicle travel to a target point. The travel control device includes a setting unit for executing a setting process for setting the course of the target vehicle speed until the vehicle reaches the target point, based on the actual vehicle speed and the target point. If a request to change the vehicle speed occurs during execution of the automatic traveling and the actual vehicle speed is changed based on the request, the setting unit executes a resetting process for resetting the course of the target vehicle speed, based on the actual vehicle speed when the request is canceled and a remaining distance from a position of the vehicle when the request is canceled to the target point.

Abstract: A control command is provided to a vehicle control module that identifies one or more vehicle actions to be performed by the vehicle control module to control a position of an autonomous vehicle (AV) with respect to an external environment. Whether one or more conditions pertaining to the position of the AV with respect to the external environment are satisfied is determined. Responsive to determining that the one or more conditions pertaining to the position of the AV with respect to the external environment are satisfied, a first instruction is provide to the vehicle control module that permits the vehicle control module to deviate from the one or more vehicle actions identified in the control command and to perform an energy saving action with respect to the AV.

Abstract: According to one embodiment, a method, computer system, and computer program product for using mobile devices for anomaly detection in a vehicle. The present invention may include a computer receives sensor data from at least one mobile device associated with the vehicle, where the mobile device having one or more sensors. The computer analyzes data from the one or more sensors to identify an anomaly associated with the vehicle. The computer identifies a message associated with the anomaly. The computer determines an urgency value of the message based on the anomaly. The computer transfers the message with the urgency value to the vehicle and causes the vehicle to notify the message using a vehicle notification device.

Abstract: Systems and methods for dynamically limiting the road speed of a vehicle are provided herein. The method includes limiting the speed of the vehicle to a predetermined first speed under normal operating conditions. The method further includes selectively engaging an override condition for an activation interval responsive to an operator generated input. The override condition may be limited to a determined number of times in an activation assessment interval. During an activation interval of the override condition, the vehicle can exceed the predetermined first speed by a specified offset that defines a second speed greater than the first speed. The activation interval may be a period of time or a distance. The override condition is not available when the number of activations in the activation assessment interval exceeds a threshold value. The activation assessment interval may be defined by a period of time, a distance, an event or action, etc.

Abstract: An automotive system providing method for detecting a road in an abnormal state based on a measured value of an acceleration sensor mounted on a vehicle includes an acceleration sensor measuring a value of gravity acceleration acting on a vehicle; a position measuring sensor measuring a position of the vehicle; a memory in which the measured value of the gravity acceleration and the position of the vehicle at a time point at which the gravity acceleration is measured are stored; and a controller electrically connected to the acceleration sensor, the position measuring sensor and the memory and configured for determining a road corresponding to the position where the value of the gravity acceleration is measured as being in an abnormal condition when the controller concludes that a difference value between the value of the gravity acceleration measured during operation of the vehicle and a reference acceleration value added to the value of the gravity acceleration to correct the value of the gravity accelerati

Abstract: A cruise control system for a motor vehicle. The system includes a setpoint value generator for generating a setpoint value determining the vehicle speed, and an actuating device that controls the speed of the vehicle to a setpoint speed through intervention into the drive and/or braking system. The system automatically adapts the setpoint speed to a predicted roadway curvature. The setpoint value generator includes at least two modules working independently from one another, including a base module for generating a base setpoint value and a curve module for generating a curve setpoint value that represents a maximum speed at which a curve having a given curvature may be negotiated without exceeding a predefined limiting value for the lateral acceleration of the vehicle, and includes a fusion module that forms a final setpoint value for the actuating device from the base setpoint value and the curve setpoint value through minimum selection.

Abstract: A vehicle control device has a processor that is configured to determine the level of active operation by the driver, to determine the relationship between the speed of the vehicle and a predetermined reference speed, and to generate a first driving plan whereby a first deceleration is used to decelerate the vehicle without activating the brake light, when it has been determined that the level of active operation by the driver is lower than the predetermined reference level and the speed of the vehicle is faster than the reference speed, and to generate a second driving plan whereby a second deceleration that is greater than the first deceleration is used to decelerate the vehicle when it has been determined that the level of active operation by the driver is lower than the predetermined reference level and the speed of the vehicle is equal to or below the reference speed.

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 vehicle control apparatus includes a processor. Before the vehicle passes through an inflection point of a curvature of a target trajectory, the processor sets a first reference point before the inflection point. After the vehicle passes through the inflection point, the processor sets a second reference point at a position where a second distance from a current position of the vehicle after the vehicle passes through the inflection point to the second reference point is longer than a first distance from a current position of the vehicle before the vehicle passes through the inflection point to the first reference point when compared under travel conditions identical in a vehicle speed, an acceleration rate, a deceleration rate, or a steering angle. The processor sets a target steering angle based on the curvature of an arc passing through the current position and the first reference point or the second reference point.

Abstract: In one embodiment, a set of dynamic vehicle parameters of an ADV associated with a road location are determined based on outputs of an IMU of the ADV measured when the ADV is traveling through the road location. Whether the set of dynamic vehicle parameters satisfy one of a first set of criteria and a second set of criteria is determined. In response to the dynamic vehicle parameters satisfying the first set of criteria for a first predetermined quantity of times or satisfying the second set of criteria for a second predetermined quantity of times, the speed limit associated with the road location is adjusted within a limited range spanning from a minimum speed limit to a maximum speed limit. Operations of the ADV when the ADV subsequently travels through the road location are controlled based at least in part on the adjusted speed limit.

Abstract: Systems and methods are disclosed for determining, and displaying, the regulatory compliance status of a motorized vehicle, a driver of a motorized vehicle, or a non-vehicle machine. An authorized agent, such as a law enforcement officer, can perform a remotely-initiated safe stop of a motorized vehicle to prevent a high-speed chase. A system management center can receive, store, and transmit regulatory compliance records indicating the regulatory compliance status of drivers, motorized vehicles, and non-vehicle machines. A motorized vehicle can detect, and report, a driver “tail-gating” the motorized vehicle. The regulatory compliance history of drivers, motorized vehicles, and non-vehicle machines can be queried by authorized users.

Abstract: A vehicle control system may include a controller that obtains route information based on a driving route and a location of a vehicle, searches for an uneven road surface on the driving route based on the route information, calculates an impulse based on vehicle information and shape information about the found uneven road surface when the uneven road surface is found, and sets a target speed based on the calculated impulse and user data.

Abstract: An air conditioner for a fuel cell electric vehicle includes a heater core configured to circulate a heat medium from a fuel cell stack and perform heating by heat exchange with air, and a control unit configured to calculate a travel resistance when the fuel cell electric vehicle travels on a road based on a road state affecting the travel resistance generated when the fuel cell electric vehicle travels and an environmental state, and control the heat exchange in the heater core based on the calculated travel resistance. When the travel resistance is equal to or greater than a predetermined value, the control unit restricts an operation for the heating using waste heat of the fuel cell stack.

Abstract: A vehicle control device includes: a distance-acquisition section acquiring a path end distance between a vehicle and an end of a turn-travel path, on which the vehicle travels with turning; a path-width-acquisition section acquiring a path width of the turn-travel path; a velocity-acquisition section acquiring a velocity of the vehicle; an anticipated-curvature-radius-acquisition section acquiring a curvature radius of an anticipated turn-travel path obtained by assuming that the turn-travel path starts from a pre-turn position, based on the path width and the path end distance obtained at the pre-turn position; a target-velocity-setting section setting a target velocity at which the vehicle should travel on the turn-travel path, based on the anticipated curvature radius; a target-acceleration/deceleration-calculation section calculating a target acceleration/deceleration for accelerating/decelerating the vehicle to the target velocity, based on the velocity of the vehicle and the target velocity, and a vehi

Abstract: Methods, vehicles, and systems described herein generate alerts based on a generated macro state level indicative of a traffic hazard risk in view of a set of parameters which may lead driver to make various sub-conscious decisions. The set of parameters can include at least one of a vehicle parameter, driver state parameter, or external parameter.

Abstract: A method for regulating a kinematic variable of a motor vehicle. The method includes: receiving actual value signals, which represent an actual value of a kinematic variable of a motor vehicle; receiving setpoint signals, which represent a setpoint value of the kinematic variable; ascertaining an actuating variable to be implemented by one or multiple actuating element(s) of the motor vehicle, based on the actual value, the setpoint value and a variation of the setpoint value over time in such a way that a deviation between the actual value and the setpoint value becomes smaller when the actuating variable is implemented with the aid of the one or multiple actuating element(s); and outputting actuating variable signals, which represent the ascertained actuating variable. A device, a computer program, and a machine-readable memory medium are also described.

Abstract: A map-based notification system configured to perform operations that include: accessing a base-map that comprises a map-tile, the map-tile defining a speed limit of a location; receiving vehicle data that includes speed data; determining that the speed data from the vehicle data transgresses the speed limit associated with the location defined by the map-tile; and causing display of a notification in response to determining that the speed data from the vehicle data transgresses the speed limit associated with the location defined by the map-tile.

Abstract: Exhaustive driving analytical methods, systems, are apparatuses are described. The methods, systems, are apparatuses relate to utilizing partially available data associated with driver and/or driving behaviors to determine safety factors, identify times to react to events, and contextual information regarding the events. The methods, systems, and apparatuses described herein may determine, based on a systematic model, reactions and reaction times, compare the vehicle behavior (or lack thereof) to the modeled reactions and reaction times, and determine safety factors and instructions based on the comparison.

Abstract: Techniques are discussed for controlling a vehicle, such as an autonomous vehicle, based on occluded areas in an environment. An occluded area can represent areas where sensors of the vehicle are unable to sense portions of the environment due to obstruction by another object. An occlusion grid representing the occluded area can be stored as map data or can be dynamically generated. An occlusion grid can include occlusion fields, which represent discrete two- or three-dimensional areas of driveable environment. An occlusion field can indicate an occlusion state and an occupancy state, determined using LIDAR data and/or image data captured by the vehicle. An occupancy state of an occlusion field can be determined by ray casting LIDAR data or by projecting an occlusion field into segmented image data. The vehicle can be controlled to traverse the environment when a sufficient portion of the occlusion grid is visible and unoccupied.

Abstract: Disclosed is a fall-resistant control method for an intelligent rollator, an intelligent rollator and a controller. The intelligent rollator has a vehicle body, front wheels and/or rear wheels configured at the bottom of the vehicle body and driven by a motor.

Abstract: A method for overriding a driving mode in an automatic longitudinal guidance mode of a motor vehicle includes setting a longitudinal guidance mode in the motor vehicle, providing a target speed for a journey event in the longitudinal guidance mode, manually overriding the target speed when the journey event is driven through by the motor vehicle, and aborting of the longitudinal guidance mode if the target speed of the journey event cannot be achieved within a settable delay.

Abstract: System and techniques for test scenario verification, for a simulation of an autonomous vehicle safety action, are described. In an example, measuring performance of a test scenario used in testing an autonomous driving safety requirement includes: defining a test environment for a test scenario that tests compliance with a safety requirement including a minimum safe distance requirement; identifying test procedures to use in the test scenario that define actions for testing the minimum safe distance requirement; identifying test parameters to use with the identified test procedures, such as velocity, amount of braking, timing of braking, and rate of acceleration or deceleration; and creating the test scenario for use in an autonomous driving test simulator. Use of the test scenario includes applying the identified test procedures and the identified test parameters to identify a response of a test vehicle to the minimum safe distance requirement.