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.

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 control method of a transportation system including a mobile terminal, a vehicle, and a server. The control method of the transportation system comprises the steps of: generating a personal image including personal information of a user by the mobile terminal; generating, by the server, an authentication code of the user by using the personal image received from the mobile terminal; generating a passenger image including personal information of a passenger by the vehicle; and when the passenger image matches the authentication code, granting, by the vehicle, authority to use the vehicle to the passenger.

The present disclosure relates to a vehicle vision system and a method for identifying an entity for access to a vehicle. The system includes a vehicle having one or more vision sensors coupled therewith. Each of the one or more vision sensors produces a vision data signal. The system includes one or more processors, a memory communicatively coupled with the vehicle and the one or more vision sensors. The one or more processors are operable to execute a first classification algorithm operable to performs an initial validation of the vision data signal. The one or more processors are operable to execute a second classification algorithm to perform a validation of the vision data signal. The one or more processors implement the first classification algorithm and/or the second classification algorithm based on one or more vehicle operational settings.

Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicle 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 condition of components for salvage following a collision or other loss-event. To this end, the information regarding a plurality of components may be received. A component of the plurality of components may be identified for assessment. Assessment may including causing test signals to be sent to the identified component. In response to the test signal, one or more responses may be received. The received response may be compared to an expected response to determine whether the identified component is salvageable.

A vehicle includes: an iris sensor configured to recognize an iris of a driver and obtain iris data; an infrared camera configured to recognize a face of the driver, obtain face data, and detect an obstructive element covering at least a portion of the iris from the face of the driver; and a controller configured to perform iris authentication based on the iris data and control a lighting apparatus to change brightness of lighting in the vehicle in response to the obstructive element being detected.

A vehicle or a mobile device within or near the vehicle can have multiple sensors to authenticate a passenger or driver of the vehicle in different ways, e.g., fingerprint, facial recognition, voice fingerprinting, iris scan, etc. Also, non-biometric factors can be used to authenticate the passenger or driver of the vehicle, e.g., MAC address, RFID, username and password, PIN, etc. In addition, a network attached security asset accessed by a vehicle can be included within the vehicle such as modem within the vehicle with authentication capabilities. Also, the authentication can be according to a zero trust framework or networking methodology. Some or all of such credentials and authentication factors or methods can fail individually, at least in part, in various conditions. An intelligent system, making use of intelligent multi-factor authentication, can combine such information to determine the identity of the passenger or driver with more reliability.

The present disclosure relates to a vehicle vision system and a method for identifying an entity for access to a vehicle. The system includes a vehicle having one or more vision sensors coupled therewith. Each of the one or more vision sensors produces a vision data signal. The system includes one or more processors, a memory communicatively coupled with the vehicle and the one or more vision sensors. The one or more processors are operable to execute a first classification algorithm operable to performs an initial validation of the vision data signal. The one or more processors are operable to execute a second classification algorithm to perform a validation of the vision data signal. The one or more processors implement the first classification algorithm and/or the second classification algorithm based on one or more vehicle operational settings.

A vehicle or a mobile device within or near the vehicle can have multiple sensors to authenticate a passenger or driver of the vehicle in different ways, e.g., fingerprint, facial recognition, voice fingerprinting, iris scan, etc. Also, non-biometric factors can be used to authenticate the passenger or driver of the vehicle, e.g., MAC address, RFID, username and password, PIN, etc. In addition, a network attached security asset accessed by a vehicle can be included within the vehicle such as modem within the vehicle with authentication capabilities. Also, the authentication can be according to a zero trust framework or networking methodology. Some or all of such credentials and authentication factors or methods can fail individually, at least in part, in various conditions. An intelligent system, making use of intelligent multi-factor authentication, can combine such information to determine the identity of the passenger or driver with more reliability.

System, apparatus, device and methods relating to a telematic vehicle sharing platform ecosystem and a telematic vehicle share I/O expander to automate sharing and management of a vehicle that is shared by more than one operator.