Abstract: A moving object such as a vehicle is identified within an intersection having multiple exits. The moving object and the intersection and its exits may be identified based on sensor data obtained from various sensors mounted on an ADV. An exit coordinate map is generated based on the orientation of the moving object and a relative position of each of the exits of the intersection with respect to the current position of the moving object. For each of the exits, an exit probability of the exit that the moving object likely exits the intersection using the exit coordinate map. Thereafter, a trajectory of the ADV is planned to navigate through the intersection to avoid the collision with the moving object based on the exit probabilities of the exits of the intersection. The above process is iteratively performed for each of the moving objects detected within the proximity of the intersection.

Abstract: Method for operating a driver assistance system in a motor vehicle wherein an action plan comprising at least one measure for the targeted deceleration of the motor vehicle is determined, as well as predictive route data describing the distance to the coasting destination is determined when the driver ends the activation of the gas pedal and at least one potential coasting destination, which requires deceleration of the motor vehicle, is determined, and said measure is used for the longitudinal guidance of the motor vehicle, whereby the measures are selected from the measure group of at least one operation in a free-run operating mode and one operation in a coasting operating mode, whereby a stopping position is determined as the coasting destination and the action plan is determined for the deceleration of the motor vehicle to a complete stop at the stopping position.

Abstract: A performance learning system and method is provided for a utility vehicle. The performance learning system includes a propulsion system, a plurality of sensors disposed on the vehicle and capable of acquiring operational data associated with the vehicle, a processor, and a memory configured to store historical operational data. The processor can be configured to receive the operational data from the sensors, generate and transmit a command to control the propulsion system based on the operational data and the historical operational data, and update the historical operational data based on the operational data. The operational data may include characteristics associated with one or more of an operator of the vehicle or an operating environment of the vehicle. The systems and methods may optimize the performance of the utility vehicle for particular environments and conditions in which the utility vehicle is being operated and increase operator satisfaction.

Abstract: One or more driving analysis computing devices in a driving analysis system may be configured to analyze driving data, determine driving behaviors, and determine whether a collision is imminent or has occurred using vehicle-to-vehicle (V2V) communications. Determination of whether a collision has occurred may be based on X-axis, Y-axis, and Z-axis positional data from two vehicles. Driving data from multiple vehicles may be collected by vehicle sensors or other vehicle-based systems, transmitted using V2V communications, and then analyzed and compared to determine various driving behaviors by the drivers of the vehicles.

Abstract: Systems and methods for UAV safety are provided. An authentication system may be used to confirm UAV and/or user identity and provide secured communications between users and UAVs. The UAVs may operate in accordance with a set of flight regulations. The set of flight regulations may be associated with a geo-fencing device in the vicinity of the UAV.

Abstract: In one embodiment, a processor of a vehicle predicts a state of the vehicle using a behavioral model. The model is configured to predict the state based in part on one or more state variables that are available from one or more sub-systems of the vehicle and indicative of one or more physical characteristics of the vehicle. The processor computes a representation of a difference between the predicted state of the vehicle and a measured state of the vehicle indicated by one or more state variables available from the one or more sub-systems of the vehicle. The processor detects a malicious intrusion of the vehicle based on the computed representation of the difference between the predicted and measured states of the vehicle exceeding a defined threshold. The processor initiates performance of a mitigation action for the detected intrusion, in response to detecting the malicious intrusion of the vehicle.

Abstract: A system, comprising a computer that includes a processor and a memory, the memory storing instructions executable by the processor to estimate path coefficients based on a difference between a vehicle location and a vehicle path. Estimating the path coefficients can include minimizing the difference while controlling path coefficient gain to maintain occupant comfort and safety. A vehicle can be operated based on the estimated path coefficients.

Abstract: One or more UAVs may survey signal sources encountered during execution of flight plans. A UAV may identify a signal source and determine attributes about the signal source. The attributes may include a location, an identifier, a signal/network type, a signal strength, and/or other information about the signal or signal source. Some attributes may be supplied by the signal source and other attributes may be assigned by another source that received signals from the signal source. The signal source may be associated with a trust level or trust designation (e.g., trusted, not trusted, unknown, etc.). An example of an untrusted signal source is a rogue signal source. A signal source may be labeled as untrusted or have a designation of unknown trust level based on application of one or more rules. Survey results and attributes may be compiled and made available for use by other parties.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to modify vehicle function based on loading conditions. An example apparatus includes a vehicle load condition manager programmed to modify a feature of a vehicle when a load condition of the vehicle satisfies a threshold, wherein at least one of the feature or the threshold is based upon a profile of a user of the vehicle.

Abstract: In a driving support device for a vehicle, a collision prediction unit uses a determination plane defined by a lateral position axis indicating a position with respect to a vehicle in a lateral direction orthogonal to a vehicle traveling direction and a prediction time period axis indicating a time-to-collision set in the vehicle traveling direction. The collision prediction unit establishes a collision prediction area as an area in the determination plane. Further, the collision prediction unit determines whether at least a part of the section between both ends of a target is within the collision prediction area in the determination plane. Depending on the determination, the collision prediction unit predicts a collision with the target. The width of the collision prediction area along a lateral position axis is set based on the width of the vehicle. The lateral position of the collision prediction area is set based on a product between the speed of the target and the time-to-collision.

Abstract: An air supply device and a method of operating same are provided for a vehicle seat having an air discharge opening provided in the upper region of the vehicle seat, via which opening a head, shoulder, and neck region of the seat occupant can be supplied with an airflow. The airflow is adjustable by a control unit for controlling or regulating a fan rotational speed of a blower and can be heated via a heating element. The control unit is supplied at least one activation signal for activating the air supply device and a temperature signal that provides information about the interior temperature. The control unit activates the heating element and the blower according to the activation signal and then controls at least the blower as a function of the interior temperature.

Abstract: A system and method for various levels of automation of a swing-to-hopper motion for a rope shovel. An operator controls a rope shovel during a dig operation to load a dipper with materials. A controller receives position data, either via operator input or sensor data, for the dipper and a hopper where the materials are to be dumped. The controller then calculates an ideal path for the dipper to travel to be positioned above the hopper to dump the contents of the dipper. In some embodiments, the controller outputs operator feedback to assist the operator in traveling along the ideal path to the hopper. In some embodiments, the controller restricts the dipper motion such that the operator is not able to deviate beyond certain limits of the ideal path. In some embodiments, the controller automatically controls the movement of the dipper to reach the hopper.

Abstract: A collision avoidance control system and method are provided. The system includes a GPS receiver that obtains location information of a vehicle, a navigation system having map information, and a sensor unit that senses a target vehicle located near a roundabout. The sensor obtains traveling information of the target vehicle and forward view image information of the vehicle. A controller then calculates an estimated collision point based on the map information, the location information of the vehicle and the traveling information of the target vehicle to determine a risk of collision based on an absolute value of a difference between an arrival time of the vehicle to the estimated collision point and an arrival time of the target vehicle to the estimated collision point. The speed of the vehicle is then adjusted in response to the determined risk of collision.

Abstract: An operating method for an electrified motor vehicle having an electric drive while being coupled to a towing vehicle by a connecting device in such a manner that the pulling forces and pushing forces between the vehicles are transmitted. The towing vehicle may communicate data to the motor vehicle used to control the motor vehicle to provide a controlled force exerted on the towing vehicle by the motor vehicle during towing. The controlled force exerted on the towing vehicle may vary based on the prevailing force direction between the vehicles, acceleration, and battery state of charge (SOC) of the motor vehicle. The controlled force may include a driving force or a braking force. The braking force may be provided by regenerative braking of the motor vehicle and/or by friction braking of the motor vehicle.

Abstract: Provided is a driving assist system which includes an own vehicle velocity sensor, an adjacent vehicle velocity sensor, and a control device and where the control device makes constant velocity travelling by causing a velocity of an own vehicle to fall within a constant velocity range between a lower limit value and an upper limit value set based on a target velocity and, when the own vehicle travels on a passing lane and an adjacent vehicle travels on a cruising lane, if a relative velocity of the adjacent vehicle to the own vehicle falls within a set range, the control device performs speed-up adjustment to increase the velocity of the own vehicle in a range up to the upper limit value.

Abstract: A method for managing a vehicle assisted steering system including one assistance function intended to help a driver drive the vehicle and one safety function intended to give assistance function a predetermined ASIL level as defined by the ISO-26262 standard, the assistance function and safety function each make use of a vehicle speed indicator parameter, including a step of estimating a functional speed of the actual longitudinal speed of the vehicle, used by default as the vehicle speed indicator parameter, a step of estimating a speed upper bound, a step of calculating an underestimated speed resulting from the application, to the speed upper bound, of a reduction value derived from a reduction law, and, if the functional speed is lower than the underestimated speed, and a step of switching in which the underestimated speed is substituted for the functional speed as the vehicle speed indicator parameter.

Abstract: A vehicle control system includes a vehicle-mounted sensor, a map database, a control rule database, and an electronic control unit. The electronic control unit is configured to recognize the position of a vehicle on a map; control traveling of the vehicle by using one of a plurality of control rules based on the position of the vehicle on the map, map information, and a detection result of the vehicle-mounted sensor; recognize a road section in the traveling direction of the vehicle based on the position of the vehicle on the map and the map information; specify a control rule used in the road section based on the recognized road section and control rule data; and control traveling of the vehicle in the road section by using the specified control rule.

Abstract: A system for measuring the position of one or more object in an area of interest. The system has an ultra wideband position measurement system with a plurality of beacons which are each located in separate fixed positions with respect to the area of interest; and one or more portable tag which is attachable to the object and a Global Navigation Satellite System (GNSS).

Abstract: A method for setting an electric vehicle (EV) on/off line of a hybrid vehicle considers a driving load of the vehicle by setting the EV on/off line based on a climbing angle and creep power. The method for setting the EV on/off line of the hybrid vehicle includes an operation of setting a region according to a state of charge (SOC), an EV online setting operation based on a climbing angle of the vehicle, and an EV offline setting operation based on creep power of the vehicle. The method provides a simple and intuitive EV line setting method to reduce a mapping time and substantially eliminate the possibility of human error, thus increasing logic reliability, so as to reduce use of a hybrid control unit (HCU) memory and provide cost-saving effects.

Abstract: This disclosure relates to systems and methods for using a vehicle as a motion base for a simulated experience. To use a vehicle as a motion base for a simulation experience, simulation information for the simulation experience may be obtained. Simulation information may include simulation stimuli that correspond to simulation events. Ride information may be obtained to identify occurrences of simulation events. Simulation stimuli corresponding to the identified simulation events occurrences may be generated. Simulation experience may be provided by operating one or more of a light source inside the vehicle, a speaker, a display, an air conditioner, a heater, a temperature controller of the vehicle, and/or other components.