Patent classifications
B60W2050/143
Vehicle behavioral monitoring
Vehicle behavioral monitoring includes determining a measure of distraction of the operator of a target vehicle, characterizing the type or category of distraction, determining level of risk that the target vehicle poses, and invoking various responses including host vehicle notifications and evasive actions and external notification and information sharing.
Driverless Vehicle Movement Processing and Cloud Systems
A system for navigating a vehicle automatically from a current location to a destination location without a human operator is provided. The system of the vehicle includes a global positioning system (GPS) for identifying a vehicle location and a communications system for communicating with a server of a cloud system. The server is configured to identify that the vehicle location is near or at a parking location. The communications system is configured to receive mapping data for the parking location from the server, and the mapping data is at least in part used to find a path at the parking location to avoid a collision of the vehicle with at least one physical object when the vehicle is automatically moved at the parking location. The mapping data is processed by electronics of the vehicle so that when the vehicle is automatically moved collision with the at least one physical object is avoided and the electronics of the vehicle is configured to process a combination of sensor data obtained by sensors of the vehicle. The processing of the sensor data uses image data obtained from one or more cameras and light data obtained from one or more optical sensors.
DUPLICATED WIRELESS TRANSCEIVERS ASSOCIATED WITH A VEHICLE TO RECEIVE AND SEND SENSITIVE INFORMATION
A vehicle is provided that comprises two or more radio frequency (RF) antennas and two or more RF transceivers to communicate wirelessly sensitive information associated with a user of the vehicle (the two or more RF antennas being at different physical locations on an exterior of the vehicle). The vehicle determines which one of the two or more RF antennas is receiving a strongest signal from a common signal source, selects a first RF transceiver associated with the RF antenna with the strongest signal to send the sensitive information associated with the user to the common signal source, and sends the sensitive information associated with the user to the first RF transceiver for transmission to the common signal source.
Wearable with linked accelerometer system
An earpiece includes an earpiece housing, a processor disposed within the ear piece housing, at least one inertial sensor disposed within the earpiece housing, the at least one inertial sensor operatively connected to the processor, and a wireless transceiver disposed within the earpiece housing and operatively connected to the processor. The earpiece is configured to exchange inertial data with a vehicle having one or more inertial sensors. The vehicle may be a motorcycle, moped, scooter, bicycle, electric bicycle, personal transporter, hover board, or other type of vehicle.
P-RANGE ENGAGEMENT METHOD OF VEHICLE AND CONTROL DEVICE THEREOF
A P-range engagement method of the vehicle and a device thereof are disclosed. The P-range engagement method is applied to the vehicle equipped with an electronic shift lever, and the method includes performing the vehicle stopping process based on detection of stopping of a traveling vehicle through a control device, holding wheel disks of the vehicle through a controller that is controlled by the control device, comparing the vehicle stopped time period, which is measured by the control device, with a predetermined reference value stored in the control device to determine whether the vehicle stopped time period exceeds the predetermined reference value, and upon determining that the vehicle stopped time period exceeds the predetermined reference value, determining whether conditions for performing P-range engagement are satisfied, and upon determining that the conditions for performing the P-range engagement are satisfied, completing the P-range engagement.
Traveling support device, control device, and non-transitory computer-readable medium
An awakening degree detecting device outputs awakening degree information corresponding to an awakening degree of a driver of a vehicle. A stimulus providing device provides the driver with a stimulus including at least one of a vibration stimulus imparting vibration and an apparent motion stimulus giving an illusion of motion presence. A control device outputs, based on the awakening degree information, a first control signal causing the stimulus providing device to provide the stimulus in a case where the awakening degree is less than a first threshold, and to output a second control signal causing the stimulus providing device to provide the stimulus after the first control signal is outputted.
Manual control re-engagement in an autonomous vehicle
Vehicles may have the capability to navigate according to various levels of autonomous capabilities, the vehicle having a different set of autonomous competencies at each level. In certain situations, the vehicle may shift from one level of autonomous capability to another. The shift may require more or less driving responsibility from a human operator. Sensors inside the vehicle collect human operator parameters to determine an alertness level of the human operator. An alertness level is determined based on the human operator parameters and other data including historical data or human operator-specific data. Notifications are presented to the user based on the determined alertness level that are more or less intrusive based on the alertness level of the human operator and on the urgency of an impending change to autonomous capabilities. Notifications may be tailored to specific human operators based on human operator preference and historical performance.
Autonomy first route optimization for autonomous vehicles
Embodiments herein can determine an optimal route for an autonomous electric vehicle. The system may score viable routes between the start and end locations of a trip using a numeric or other scale that denotes how viable the route is for autonomy. The score is adjusted using a variety of factors where a learning process leverages both offline and online data. The scored routes are not based simply on the shortest distance between the start and end points but determine the best route based on the driving context for the vehicle and the user.
SADDLE-RIDE VEHICLE WITH AUTONOMOUS BRAKING AND METHOD OF OPERATING SAME
A vehicle operable by an unrestrained or uncontained rider and including a controller programmed to identify a trigger for an autonomous vehicle response. A sensor of the vehicle is in communication with the controller and operable to detect a predefined condition as the trigger. A rider sensor system in communication with the controller includes one or both of: a rider cognition sensor, and a rider physical sensor to detect physical engagement between rider and vehicle. On the condition of the controller determining from the rider sensor system that there is positive rider engagement, the controller is programmed to instruct a first level of autonomous vehicle response to the one or more actuators to effect a change in the operation of the vehicle in response to identification of the trigger. In the absence of positive rider engagement determined by the controller, the first level of autonomous vehicle response is prohibited.
ALERT DETECTION SYSTEM
An alert detection system for a vehicle includes: a sensor unit; a controller; and an alert indication unit, the controller receiving at least one or more input signals from at least the sensor unit and determining one or more output indicators based on the at least one or more input signals, and the one or more output indicators including a first output indicator, a second output indicator, and a third output indicator which are Level 1 alert, Level 2 alert, and Level 3 alert, and the one or more output indicators being progressively actuated based on signal received from the at least one or more of input signals.