This disclosure is generally directed to systems and methods for automatically securing a vehicle such as a police truck or an emergency response vehicle and/or the contents of the vehicle after a bailout by the driver. In one exemplary method, a computer is configured to use a sensor system to detect that a driver of a vehicle has bailed out of the vehicle. Based at least in part on detecting that the driver has bailed out of the vehicle, the computer can execute operations such as automatically locking a door of the vehicle, logging out a computer located in the vehicle, locking a first component inside the vehicle such as a gun vault, and/or disabling an operation of another component in the vehicle such as a trunk release or an ignition switch.

A voice recognition transmission system for preventing unauthorized activation of a vehicle is provided. The system includes a microphone, a voice recognition module, and an automotive gear shifter. The microphone receives a voice command. The voice recognition module analyzes the voice command against a plurality of authorized voice profiles. The voice recognition module determines if the voice command reaches a threshold of similarity in tone and tenor of one authorized voice profile. A voice command that reaches the threshold of similarity will activate the automotive gear shifter to perform the voice command. A voice command that fails to reach the threshold of similarity will activate an interlock. The interlock will prevent an unauthorized individual from operating the vehicle and activate the vehicle alarm system. A notification will be sent to a connected electronic device when a voice command activates the automotive gear shifter or the interlock.

A distributed biometric vehicle entry system is configured to provide personalized biometric authentication for vehicle entry. The system utilizes an authentication token private key challenge generated a biometric wireless vehicle entry keypad, or a passive device such as a smartphone or fob, such that it would be insufficient for an intruder to simply jump the circuit with an external battery. The biometric authentication may be localized to an embedded system within the biometric vehicle entry keypad, and may be self-contained from all other vehicle systems with a wireless vehicle interface and independent power supply. The vehicle may grant access responsive to receiving the authentication token (and only the authentication token) whenever a valid biometric signature is recognized.

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.

Methods and systems for determining an emotion of a human driver of a vehicle and using the emotion for generating a vehicle response, is provided. One example method includes capturing, by a camera of the vehicle, a face of the human driver. The capturing is configured to capture a plurality of images over a period of time, and the plurality of images are analyzed to identify a facial expression and changes in the facial expression of the human driver over the period of time. The method further includes capturing, by a microphone of the vehicle, voice input of the human driver. The voice input is captured over the period of time. The voice input is analyzed to identify a voice profile and changes in the voice profile of the human driver over the period of time. The method processes, by a processor of the vehicle, a combination of the facial expression and the voice profile captured during the period of time to predict the emotion of the human driver. The method generates the vehicle response that is responsive to the emotion of the human driver. The vehicle response is configured to make at least one adjustment to a setting of the vehicle. The adjustment is selected based on the emotion of the human driver. The vehicle response can be used to make the driver more calm and/or assist in reducing distracted driving. The prediction of the emotion may be additionally increased by capturing and analyzing touch and/or gesture characteristic of the human driver when interfacing with a graphical user interface or surfaces of the vehicle or systems of the vehicle.

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.

Provided is an electric vehicle. The electric vehicle includes: a first power source, a target component and an electrical control component integrated to the target component; the first power source is connected with the electrical control component and is configured to supply the power to the electrical control component; and the electrical control component is configured to unlock, under a condition in which the electric vehicle is locked, when target information matched with a stored target account number is detected, the electric vehicle. With the disclosure, the problems of complex structural design and troublesome unlocking operation of the electric vehicle in the related art are solved.

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.

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.

A digital assistant is determined from a plurality of digital assistants in a vehicle for performing a vehicle function. A speech message of a vehicle occupant is received via a digital assistant from the plurality of digital assistants in the vehicle. A command of the speech message is ascertained via the digital assistant. An execution authorization of the vehicle occupant is determined for the command of the speech message via the digital assistant. If the vehicle occupant has an execution authorization for the command of the speech message, command of the speech message is executed via the digital assistant in order perform the vehicle function in the vehicle.