Methods and systems for autonomous and semi-autonomous vehicle routing are disclosed. Roadway suitability for autonomous operation is scored to facilitate use in route determination. Maps of roadways suitable for various levels of autonomous operation may be generated. Such map data may be used by autonomous vehicles or other computer devices in determining routes based upon criteria for vehicle trips. Such routes may be automatically updated based upon changes in road conditions, vehicle conditions, operator conditions, or environmental conditions. Emergency routing using such map data is described, such as automatic routing and travel when a passenger is experiencing a medical emergency.

A method comprising receiving, by a vehicle computer, first information specifying a user, a time, and a location, the first information received by the vehicle computer from a first communication channel; causing the vehicle to navigate to the geographic location so as to arrive at the specified location; at the geographic location: receiving, by the vehicle computer, second information identifying the individual, time and location, the second information received over a second communication channel different than the first communication channel, the second information sent by a mobile device at the location; comparing, by the vehicle computer, the first information and the second information; and responsive to the comparing, causing, by the vehicle computer, one or more doors of the vehicle to unlock or open.

An electronic device and a control method therefor are disclosed. The present invention comprises: a camera; a memory for storing user face authentication information and an authentication pattern; and a control unit for recognizing a face from an image acquired through the camera, performing a first authentication that determines whether the recognized face matches the face authentication information, tracking the movement of a gaze of the recognized face when the first authentication is completed, and performing a second authentication that determines whether the movement of the gaze matches the authentication pattern. According to the present invention, a dual authentication step using the face authentication information and the movement of the gaze of the user can be conveniently performed.

Methods and systems for autonomous vehicle recharging or refueling are disclosed. Autonomous electric vehicles may be automatically recharged by routing the vehicles to available charging stations when not in operation, according to methods described herein. A charge level of the battery of an autonomous electric vehicle may be monitored until it reaches a recharging threshold, at which point an on-board computer may generate a predicted use profile for the vehicle. Based upon the predicted use profile, a time and location for the vehicle to recharge may be determined. In some embodiments, the vehicle may be controlled to automatically travel to a charging station, recharge the battery, and return to its starting location in order to recharge when not in use.

Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation. Such assessment may be performed to determine the robustness of autonomous systems, including the use of virtual assessment of software components within a simulated environment. To this end, a server may retrieve one or more routines associated with autonomous operation. The server may also generate a set of test data associated with test conditions. The server may also execute an emulator that virtually simulates autonomous environment. The test data may be presented to the routines executing in the emulator to generate output data. The server may then analyze the output data to determine a quality metric.

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.

Some embodiments include techniques for mutual authentication between a passenger that has requested a transportation service and a dispatched vehicle for providing the requested transportation service. A user device associated with the passenger verifies the dispatched vehicle using a vehicle access token generated by a transportation service platform and sends a secret key to the dispatched vehicle. The dispatched vehicle uses the secret key to recover passenger biometric information from a passenger secret received from the user device through the transportation service platform, captures passenger biometric information on-site, and compares the recovered passenger biometric information and the passenger biometric information collected on-site to verify the passenger.

Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation. Vehicle collision and/or smart home incident monitoring, damage detection, and responses are also described, with particular focus on the particular challenges associated with incident response for unoccupied vehicles and/or smart homes. Operating data associated with the autonomous vehicle and/or smart home may be received. Within the operating, an unusual condition indicative of a likelihood of incident may be detected. Based on the unusual condition, it may be determined that the incident occurred. Accordingly, a response to the incident may be determined. The response may be implemented by the autonomous vehicle and/or smart home.

A vehicle may include a detector to detect and obtain biometric information, a first storage to store encrypted user biometric information, a second storage to store identification information of a user, and a first controller to decrypt the encrypted user biometric information when the detector detects the encrypted user biometric information based on the identification information received from the second storage. The first controller authenticates the user based on whether the detected biometric information is identical to the decrypted user biometric information.

Methods and systems for communicating between autonomous vehicles are described herein. Such communication may be performed for signaling, collision avoidance, path coordination, and/or autonomous control. A computing device may receive data for the same road segment from autonomous vehicles, including (i) an indication of a location within the road segment, and (ii) an indication of a condition of the road segment. The computing device may generate, from the data for the same road segment, an overall indication of the condition of the road segment, which may include a recommendation to vehicles approaching the road segment. Additionally, the computing device may receive a request from a computing device within a vehicle approaching the road segment to display vehicle data. The overall indication for the road segment may then be displayed on a user interface of the computing device.