Abstract: Devices, systems, and methods for remote control of autonomous vehicles are disclosed herein. A method may include receiving, by a device, first data indicative of an autonomous vehicle in a parking area, and determining, based on the first data, a location of the autonomous vehicle. The method may include determining, based on a the location, first image data including a representation of an object. The method may include generating second image data based on the first data and the first image data, and presenting the second image data. The method may include receiving an input associated with controlling operation of the autonomous vehicle, and controlling, based on the input, the operation of the autonomous vehicle.

Abstract: A system includes a computer remote from a vehicle. The computer is programmed to store a label of an odor associated with a user, instruct the vehicle to pick up the user, receive data from an environmental sensor in the vehicle, and output a message upon determining that the data indicate that a level of the odor exceeds a threshold.

Abstract: A first device, for communications on a communications bus is programmed to: identify a configuration on a communications bus comprising one of (1) a second LIN device and no second custom device, (2) the second custom device and no LIN device, and (3) both the second LIN device and the second custom device and select an operating mode specified for communications with the identified bus configuration. A third device for communications on the communications bus is programmed to identify that a fourth device on the communications bus is one of (1) a calibration device programmed to control two-way communications with the third device, (2) a LIN master device programmed to control two-way communications with the third device and (3) a custom master device programmed to only receive messages from the third device; and select an operating mode specified for communication with the other device.

Abstract: A system communicates with a plurality of vehicles onsite at a parking garage. The system determines an eventual intended destination for each respective vehicle of the plurality of vehicles and determines a path through the garage for each respective vehicle, to the destination for the respective vehicle. The system may segment the path into a plurality of shorter tasks for the respective vehicle, wherein each task moves the respective vehicle along the path until a point where the respective vehicle encounters an obstruction and instruct the respective vehicle to execute the shorter tasks for the respective vehicle.

Abstract: Systems and methods are provided herein for creating and building a model of a unique infrastructure, such as a parking structure. The model may be created through the identification of various triggers by a vehicle traversing the infrastructure. The triggers may include, for example, sensors or other devices capable of sensing the vehicle within the infrastructure. The triggers may also be information received from the vehicle itself. Based on the triggers, it may be inferred that various places exist throughout the infrastructure. For example, it may be inferred through two subsequent triggers that a place exists between the two triggers. The place may be added to the model of the infrastructure in between the two triggers. The model may continue to grow in this manner.

Abstract: Methods and systems for vehicle localization are provided herein. An example method can include obtaining a map within an operating area. A location within the operating area is associated with a pattern of speed bumps that is configured to produce a vehicle pitch response from the vehicle when the vehicle travels over the pattern of speed bumps. The method can include obtaining motion sensor information from a vehicle sensor, determining when the motion sensor information matches the vehicle pitch response, and determining that the vehicle is in the location when the motion sensor information corresponds to the vehicle pitch response of the location.

Abstract: Methods and apparatus for vehicle HVAC control are disclosed. A disclosed example apparatus includes a portable device interface of a vehicle, the portable device interface to be communicatively coupled with a portable device, a heating, ventilation and air conditioning (HVAC) control system of the vehicle, where the HVAC control system is to be communicatively coupled to the portable device interface. The example apparatus also includes a processor to control the HVAC control system based on signals received at the portable device interface from the portable device.

Abstract: Harvesting the high performance computing capabilities of vehicle processors while the vehicles are parked and/or charging may provide use to otherwise unused resources as well as offer a way to discount parking and/or charging costs for the vehicle owner/driver. To harvest the computing capabilities, a dispatcher is utilized that receives incoming complex processing requests and parses the requests into tasks. The dispatcher dispatches the tasks to vehicle processors that are within, for example, a parking garage to which the dispatcher has access. The dispatcher may prioritize requests and/or prioritize the vehicle processors to distribute the tasks to optimize the power consumption, time, and processing capabilities used. When the vehicle processors complete the tasks and return results to the dispatcher, the dispatcher finalizes the job results and provides the results to the requestor. The dispatcher may discount the parking and/or charging costs for the vehicles that performed the computational tasks.

Abstract: Autonomous vehicles may utilize neural networks for image classification in order to navigate infrastructures and foreign environments, using context dependent transfer learning adaptation. Techniques include receiving a transferable output layer from the infrastructure, which is a model suitable for the infrastructure and the local environment. Sensor data from the autonomous vehicle may then be passed through the neural network and classified. The classified data can map to an output of the transferable output layer, allowing the autonomous vehicle to obtain particular outputs for particular context dependent inputs, without requiring further parameters within the neural network.

Abstract: A system includes a processor configured to receive image data gathered by a vehicle camera, relating to a fixed environmental feature. The processor is also configured to determine a vehicle position relative to the fixed environmental feature and determine a vehicle lane-level location on a digital map, based on the vehicle position relative to the fixed environmental feature.

Abstract: Vehicle-based sign language communication systems and methods are provided herein. An example device can be configured to determine a sign language protocol used by the first user, determine a target language used by a second user, obtain a translation library based on the sign language protocol and the target language, receive spoken word input from a second user through a microphone, convert the spoken word input into sign language output using the translation library, and provide the sign language output using a sign language output device.

Abstract: An infotainment system in a vehicle includes at least one processor configured to, in response to occurrence of a trigger condition defined by an invitation from a source remote from the vehicle and identifying media content and to acceptance of the invitation, select a medium carrying the media content to play the media content. The trigger condition may be a current location of the vehicle matching a specified location, a weather condition at a current location of the vehicle matching a specified weather condition, a current speed of the vehicle exceeding a specified speed, a current date matching a specified date, or a current time of day matching a specified time of day. Alternatively, the trigger condition may be a signal indicating presence of a passenger or presence of a connection with a mobile device.

Abstract: A size of collected data to swap is identified, over vehicle-to-vehicle communication between first and second vehicles. A first segment of data of the size stored to the first vehicle is swapped with a second segment of data of the size stored to the second vehicle over the vehicle-to-vehicle communication between the first and second vehicles. The swapped data received from the second vehicle is sent from the first vehicle to a server.

Abstract: A first device, for communications on a communications bus is programmed to: identify a configuration on a communications bus comprising one of (1) a second LIN device and no second custom device, (2) the second custom device and no LIN device, and (3) both the second LIN device and the second custom device and select an operating mode specified for communications with the identified bus configuration. A third device for communications on the communications bus is programmed to identify that a fourth device on the communications bus is one of (1) a calibration device programmed to control two-way communications with the third device, (2) a LIN master device programmed to control two-way communications with the third device and (3) a custom master device programmed to only receive messages from the third device; and select an operating mode specified for communication with the other device.

Abstract: A system for allowing control of vehicle features includes a computer programmed to wirelessly connect to first and second user devices authorized to access, respectively, first and second sets of vehicle features. The first and second sets of vehicle features differ by at least one feature. The computer is further programmed to actuate a feature from the first set of vehicle features upon receipt of a first device command, and to actuate a feature from the second set of vehicle features upon receipt of a second device command.

Abstract: A computer that is programmed to: receive a request from a communication module in a vehicle to communicate with an ant-sized radio (ASR) device in the vehicle; in response to the request, concurrently steer two different radio frequency (RF) beams onto the ASR device; and based on steering the beams: transmit an instruction to the ASR device, or provide sensor data received from the ASR device to the module.

Abstract: A system includes a processor configured to approve an application vehicular-system-access request based on a temporary key and device ID transmitted with the access request matching a stored temporary key and device ID pair previously stored by the processor. This can assist in ensuring that only validated devices and/or applications are requesting access to a vehicle system.

Abstract: A vehicle includes a lower security network (LSN) and higher security network (HSN) having therebetween a read only filter and path in parallel to respectively exclusively pass data from the LSN to the HSN, and from the HSN to the LSN. The vehicle includes a gateway controller configured to alter a duty cycle associated with the filter according to utilization of the HSN to alter a data rate through the filter but not through the path.

Abstract: A vehicle computer is communicatively coupled to a portable computing device and is programmed to detect, in a vehicle sensor, a sound outside of the vehicle and to actuate, in the portable computing device, a haptic output based at least in part on the detected sound.

Abstract: A storage maintains coefficients that map histogram data elements to tire wear, the coefficients being trained based on a correlation of histogram data to measured tire wear. A processor is programmed to receive a wear data histogram from a vehicle, utilize the coefficients to translate the wear data histogram into a measure of physical tire wear; and send an alert message indicating the estimated tire wear.