Abstract: A method for routing a vehicle includes determining, based on roadway section information for two or more potential driving routes for a vehicle, a first route along which a driver assistance feature or an automated driving feature will not be available and a second route along which the driver assistance feature or the automated driving feature will be available. The method further includes providing navigation instructions for the second route to a driver or control system.

Abstract: Media, methods, and systems are provided for a shim to enable dynamic selection of RTC during virtual events. A virtual event may be created, and an RTC provider may be selected for the virtual event. A connection request to connect to the RTC provider may be received from a client device. Thereafter, connection data may be signaled to the client device. A signaling message may be received from the client device. The signaling message may be intercepted and translated by the shim. The signaling message may then be transmitted to a signaling server for connecting to the RTC provider. Changes of state of the virtual event may be monitored to determine if a new RTC provider should be leveraged.

Abstract: Example user identification systems and methods are described. In one implementation, a method determines a first step pulse associated with a user carrying a key fob and detects a user device proximate the key fob. The method further identifies a second step pulse measured by the user device and determines whether the first and second step pulses match. If the step pulses match, the user carrying the key fob is identified as the owner of the user device.

Abstract: Methods, devices and apparatuses pertaining to routing with U-turn inhibition. A method may include receiving, by a computing device, geographic information of a destination and geographic information of a current location of a vehicle and evaluating feasibility of a U-turn along a path between the current location and the destination using the geographic information. The computing device may further calculate a U-turn cost parameter associated with the U-turn representative of the feasibility, and determine a feasible route between the current location and the destination based on the U-turn cost parameter using a routing algorithm.

Abstract: Example user identification systems and methods are described. In one implementation, a method determines a first step pulse associated with a user carrying a key fob and detects a user device proximate the key fob. The method further identifies a second step pulse measured by the user device and determines whether the first and second step pulses match. If the step pulses match, the user carrying the key fob is identified as the owner of the user device.

Abstract: A method for routing a vehicle includes determining, based on roadway section information for two or more potential driving routes for a vehicle, a first route along which a driver assistance feature or an automated driving feature will not be available and a second route along which the driver assistance feature or the automated driving feature will be available. The method further includes providing navigation instructions for the second route to a driver or control system.

Abstract: Methods, devices and apparatuses pertaining to routing with U-turn inhibition. A method may include receiving, by a computing device, geographic information of a destination and geographic information of a current location of a vehicle and evaluating feasibility of a U-turn along a path between the current location and the destination using the geographic information. The computing device may further calculate a U-turn cost parameter associated with the U-turn representative of the feasibility, and determine a feasible route between the current location and the destination based on the U-turn cost parameter using a routing algorithm.

Abstract: Methods, devices and apparatuses pertaining to U-turn assistance. The method may include detecting an intention of an operator of a vehicle of rendering a U-turn at a location. A computing device may obtain geographic information associated with the U-turn, and assess feasibility of the U-turn at the location based on the geographic information. Further, the computing device may provide a notification to the operator based on the feasibility of the U-turn to assist the operator to operate the U-turn of the vehicle at the location.

Abstract: A method for routing a vehicle includes determining, based on roadway section information for two or more potential driving routes for a vehicle, a first route along which a driver assistance feature or an automated driving feature will not be available and a second route along which the driver assistance feature or the automated driving feature will be available. The method further includes providing navigation instructions for the second route to a driver or control system.

Abstract: Methods, devices and apparatuses pertaining to U-turn assistance. The method may include obtaining, by a computing device, geographic obtaining of a location designated for an operation of a U-turn. The computing device may further obtain vehicle information of a vehicle performing the U-turn, and collect user information of an operator of the vehicle. Based on the geographic information, the vehicle information and the user information, the computing device may determine a level of difficulty of the U-turn and assist the operator with the operation of the U-turn based on the level of difficulty.

Abstract: Systems, methods, and devices for network-based storage of vehicle and infrastructure data for vehicle optimization are disclosed. A method includes receiving sensor data from a vehicle sensor, uploading the sensor data to a network, and storing the sensor data in a vehicle map database. The method includes downloading aggregated drive data from the network and storing the aggregated drive data in the vehicle map database. The method includes optimizing a vehicle route based on route costs for a plurality of potential driving routes based on a reliability of an automated driving feature or driver assistance feature.

Abstract: A method for post-processing to synchronize audio data with vehicle data includes generating an artificial sound data based on time-series vehicle data. The method includes determining an offset that maximizes cross-correlation between the artificial sound data and recorded audio data. The method also includes shifting one or more of the time-series data and the recorded audio data relative to each other in time based on the offset. The shift may be used to generate or render a synchronized set of time-series data and recorded audio data.

Abstract: A method for providing simulation testing. The method may include receiving a customer request to generate a virtual environment for testing a robot of the customer. The virtual environment may be automatically generated by a service provider in accordance with the request. The customer may interface with the virtual environment of the service provider to iteratively test the robot in the virtual environment. This testing may generate simulation results that reflect interactions between the robot and the virtual environment. The simulation results may be communicated from the service provider to the customer. A corresponding system and computer program product are also disclosed herein.

Abstract: A method for routing a vehicle includes determining, based on roadway section information for two or more potential driving routes for a vehicle, a first route along which a driver assistance feature or an automated driving feature will not be available and a second route along which the driver assistance feature or the automated driving feature will be available. The method further includes providing navigation instructions for the second route to a driver or control system.

Abstract: A method for generating high-value test scenarios for autonomous vehicles. The method includes identifying multiple scenarios, each associated with a location on a road network. An injury value may be determined for each of the scenarios, and the scenarios and their associated injury values may be stored in a database. A desired location for testing an autonomous vehicle may be selected. At least one of the scenarios associated with the desired location and having an associated injury value that exceeds a predetermined threshold may be identified in the database. A virtual reality test environment may then be generated for the autonomous vehicle based on the at least one scenario. A corresponding system and computer program product are also disclosed and claimed herein.

Abstract: A method for post-processing to synchronize audio data with vehicle data includes generating an artificial sound data based on time-series vehicle data. The method includes determining an offset that maximizes cross-correlation between the artificial sound data and recorded audio data. The method also includes shifting one or more of the time-series data and the recorded audio data relative to each other in time based on the offset. The shift may be used to generate or render a synchronized set of time-series data and recorded audio data.

Abstract: A method for routing a vehicle includes determining, based on roadway section information for two or more potential driving routes for a vehicle, a first route along which a driver assistance feature or an automated driving feature will not be available and a second route along which the driver assistance feature or the automated driving feature will be available. The method further includes providing navigation instructions for the second route to a driver or control system.

Abstract: Systems, methods, and devices for estimating a speed limit are disclosed herein. A system for estimating a speed limit includes one or more perception sensors, an arbitrated speed component, an attribute component, an estimator component, and a notification component. The one or more perception sensors are configured to generate perception data about a region near a vehicle. The arbitrated speed component is configured to determine that a high confidence or arbitrated speed limit is not available. The attribute component is configured to detect one or more environmental attributes based on the perception data. The estimator component is configured to determine an estimated speed limit based on the environmental attributes. The notification component is configured to provide the estimated speed limit to an automated driving system or driver assistance system of the vehicle.

Abstract: A vehicle implements a method of selecting gear ratios that utilizes two shift schedules, one for flat terrain and one for hilly terrain. Initially, the vehicle switches between the shift schedules based on estimation of the road gradient of a recently traversed route. When the vehicle switched between the shift schedules, the vehicle stores location information associated with the switch. When stored information about previous shift schedule switches is available, the information is utilized, in combination with navigation system data, to switch shift schedules at more appropriate times.

Abstract: Methods, devices and apparatuses pertaining to U-turn assistance. The method may include obtaining, by a computing device, geographic obtaining of a location designated for an operation of a U-turn. The computing device may further obtain vehicle information of a vehicle performing the U-turn, and collect user information of an operator of the vehicle. Based on the geographic information, the vehicle information and the user information, the computing device may determine a level of difficulty of the U-turn and assist the operator with the operation of the U-turn based on the level of difficulty.