Abstract: This application discloses a computing system to implement object tracking in an assisted or automated driving system of a vehicle. The computing system can assign a pre-classification to a detection event in an environmental model, update the environmental model with new sensor measurements and corresponding detection events over time, and track the detection event in the updated environmental model. The computing system can track the detection event by predicting a future state of the detection event with a state change model selected based on the assigned pre-classification, comparing the predicted future state to an actual future state of the detection event in an update to the environmental model, and determining the detection event corresponds to an object proximate to the vehicle based on the comparison. A control system for the vehicle can control operation of the vehicle based, at least in part, on the tracked detection event.

Abstract: Systems and methods are provided for determining a road profile along a predicted path. In one implementation, a system includes at least one image capture device configured to acquire a plurality of images of an area in a vicinity of a user vehicle; a data interface; and at least one processing device configured to receive the plurality of images captured by the image capture device through the data interface; and compute a profile of a road along one or more predicted paths of the user vehicle. At least one of the one or more predicted paths is predicted based on image data.

Abstract: Methods and systems autonomously parking and retrieving vehicles are disclosed. Available parking spaces or parking facilities may be identified, and the vehicle may be navigated to an available space from a drop-off location without passengers. Special-purpose sensors, GPS data, or wireless signal triangulation may be used to identify vehicles and available parking spots. Upon a user request or a prediction of upcoming user demand, the vehicle may be retrieved autonomously from a parking space. Other vehicles may be autonomously moved to facilitate parking or retrieval.

Abstract: A vehicle monitoring system with a camera is disclosed for creating video or still photo data at the time of a detected accident. The monitoring system monitors a vehicle parameter using a sensor contained within the vehicle. The system may use a processor contained within the vehicle to monitor the vehicle parameter. The system sets a parameter threshold. When the system detects, using the sensor, that the parameter has met the threshold it captures a video or still photo of an area surrounding the vehicle. The system then stores and/or transmits the video or still photo data to a remote server over a network.

Abstract: Systems and techniques are disclosed for switching a vehicle driving mode. A sensing unit senses a state of a driver of a vehicle configured to be driven automatically or manually. An intention detecting unit detects whether the driver intends to switch from an automatic driving mode to a manual driving mode based on the state of the driver. An operation detecting unit detects whether the driver is able to operate the vehicle in the manual driving mode based on the state of the driver. A driving state predicting unit predicts a driving state of the vehicle in the manual driving mode based on detecting that the driver is able to operate the vehicle in the manual driving mode. A control unit determines that the predicted driving state of the vehicle meets a preset condition and switches from the automatic to the manual driving mode.

Abstract: Described are a system, method, and computer program product for machine-learning-based traffic prediction. The method includes receiving historic transaction data including a plurality of transactions. The method also includes generating, using a machine-learning classification model, a transportation categorization for at least one consumer. The method further includes receiving at least one message associated with at least one transaction, identifying at least one geographic node of activity in the region, and generating an estimate of traffic intensity for the at least one geographic node of activity. The method further includes comparing the estimate of traffic intensity to a threshold of traffic intensity and, in response to determining that the estimate of traffic intensity satisfies the threshold: generating a communication configured to cause at least one navigation device to modify a navigation route; and communicating the communication to the at least one navigation device.

Abstract: Apparatuses and methods for transmitting and receiving data are disclosed, where an apparatus for transmitting data includes a calculator configured to calculate a difference value between a reference value and a measurement data of a battery, and a transmitter configured to transmit an initial value and the difference value.

Abstract: A vehicle includes a drive motor and a motor controller. The drive motor is configured to transfer torque to a wheel. The motor controller is configured to perform torque variation control during a predetermined period, in which, in response to a predetermined trigger for performing a pseudo shift change, torque of the drive motor is decreased by a set variation amount and is then increased.

Abstract: Examples described may enable provision of remote assistance for an autonomous vehicle. An example method includes a computing system operating in a rewind mode. In the rewind mode, the system may be configured to provide information to a remote assistance operated based on a remote-assistance triggering criteria being met, such as the autonomous vehicle experiencing a tactile event. When the triggering criteria is met, the remote assistance system may provide data from the time leading up to when the remote-assistance triggering criteria was met that was capture of the environment of autonomous vehicle to the remote assistance operator. Based on viewing the data, the remote assistance operator may provide and input to the system that causes a command to be issued to the autonomous vehicle.

Abstract: A method of controlling torque intervention of a hybrid electric vehicle includes: receiving at least one torque intervention request; determining, by a control unit, a gear shift intervention requested quantity requested for limiting a driving torque of the vehicle during a gear shift and a brake intervention requested quantity requested for limiting the driving torque of the vehicle during a braking operation in response to receiving the at least one torque intervention request; generating, by the control unit, a combined intervention requested quantity based on the gear shift intervention requested quantity and the brake intervention requested quantity; and determining, by the control unit, a type of current intervention based on the combined intervention requested quantity in real time.

Abstract: A vehicle control system is configured to switch a driving mode of a vehicle among an automatic driving mode, a transition mode, and a manual driving mode. The vehicle control system includes: a notification device and an electronic control unit. The notification device is configured to notify the driver of information. The electronic control unit is configured to recognize a vehicle state of the vehicle, and notify, by using the notification device, the driver of a reason for switching the driving mode to the transition mode, when the driving mode is switched from the automatic driving mode or the manual driving mode to the transition mode based on the vehicle state.

Abstract: An autonomous traveling device includes a vehicle body, a traveling body to move the vehicle body, a ranging device to consecutively change a direction of emission of light beams while optically scanning a scanning range, and a reflection body to change a direction of an optical path of at least part of light beams emitted from the ranging device and reflected to an area other than a center area of the scanning range. Further, an autonomous traveling device includes an optical path changing device. The optical path changing device changes an angle of inclination downwardly relative to a scanning plane of the ranging device and changes a direction of an incident light from a lateral direction to a forward direction of the vehicle body. Further, the optical path changing device changes a direction of an incident light toward a foot area of the vehicle body.

Abstract: Disclosed are an electric brake system and a control method thereof. The electric brake system includes a sensor part including at least three sensors among a motor position sensor MPS configured to measure a position of a motor, an acceleration sensor configured to measure a longitudinal acceleration of a vehicle, a wheel speed sensor configured to measure a wheel speed of the vehicle, and a pressure sensor configured to measure a brake hydraulic pressure of a wheel; and a controller configured to receive measured results from the at least three sensors among the motor position sensor MPS, the acceleration sensor, the wheel speed sensor, and the pressure sensor and determine that a sensor fails, which outputs a brake hydraulic pressure having a largest deviation among three or more brake hydraulic pressures that are estimated or measured from the at least three sensors.

Abstract: An example system can receive information regarding an object, and provide navigation to the object. The object can be identified based on the received information. Information regarding an operating parameter about the object can be received, and whether the operating parameter of the object is within a predefined operating range based on the identity of the object and the received operating parameter information can be determined and communicated.

Abstract: An adaptive method for controlling a vehicle speed and an adaptive device for using the same is disclosed. The method controls a vehicle speed of a host vehicle that is driving. A front vehicle drives in front of the host vehicle. There is a vehicle distance between the host vehicle and the front vehicle. Firstly, first accelerations of the host vehicle are retrieved and the vehicle speeds corresponding to the first accelerations and the vehicle distances corresponded thereof are retrieved. When all the first accelerations are not zero, the extreme values of the first accelerations are deleted. Finally, the vehicle speed of the host vehicle is controlled according to all the retrieved accelerations, their corresponding vehicle distances, and the vehicle speeds corresponded thereof.

Abstract: In some examples, a system may receive, over a network from a vehicle computing device onboard a vehicle, sensor data for at least one sensed parameter of a vehicle component. The system may determine, based on the sensor data, a damage result indicative of fatigue damage to the vehicle component. Based at least partially on the damage result, the system may send a communication to at least one of the vehicle computing device onboard the vehicle, or a computing device associated with an account associated with the vehicle. In some cases, the damage result may be determined from at least one of accessing a lookup table using the sensor data, or executing a fatigue simulation using sensor data.

Abstract: A robot cleaner comprising: a cleaner body including a wheel unit and a controller controlling driving of the wheel unit a suction unit disposed in the cleaner body, the suction unit sucking air containing dust and a sensing unit disposed at the front of the cleaner body in which the suction unit is disposed, wherein the sensing unit includes a first sensing part disposed respectively inclined with respect to side and top surfaces at an upper corner portion of the cleaner body to simultaneously photograph front and upper parts of the cleaner body.

Abstract: An apparatus for controlling a driver assistance system, may include a vehicle information providing device that is configured to provide user state information, personal driving pattern information, and vehicle surrounding information including road information, an advanced driver assistance system (ADAS) driving search device that searches for and recommends an ADAS function for a vehicle driving route by determining information provided from the vehicle information providing device, and a user interface device that displays the ADAS function recommended by the ADAS driving search device together with the vehicle driving route when the user inputs a destination.

Abstract: Systems and methods for detecting an oscillation of a vehicle. The system comprises a sensor configured to detect an oscillation of the vehicle, and an electronic controller configured to receive an oscillation signal from the sensor, compare the oscillation signal to a detection threshold, and in response to the comparison of the oscillation signal to the detection threshold, generate a signal to activate a braking system of the vehicle and generate a request to reduce torque in an engine of the vehicle.

Abstract: A route guidance system for a navigation system includes a communication unit, a navigation unit, and a display unit. The communication unit transmits and receives vehicle coordinates from a remote lead vehicle. The navigation unit determines a route and provides directions for a user to the remote lead vehicle. The display unit displays a location of the user, the coordinates of the remote lead vehicle, the route from the user to the remote lead vehicle, and the directions.