Software application to request and control an autonomous vehicle service

In one aspect, a vehicle's computing device may receive information identifying a client computing device, a pickup location, and an encryption key. When the vehicle is within a given distance of the pickup location, the computing device uses the encryption key to authenticate the client computing device. When the client computing device is authenticated, the computing device may estimate a first distance between the client computing device and the vehicle based on a strength of a signal received from the client computing device. The computing device may then automatically determine when to unlock the vehicle by selecting between a first distance value and a second distance value. The first value is selected when the first distance is greater than a threshold value, and the second value is selected when the first distance is less than the threshold value. The computing device may unlock the vehicle based on the determination.

Unlock and authentication for autonomous vehicles

The present invention relates to a system for automatically adjusting a vehicle feature of a vehicle, where the system includes a first sensor, an onboard computer, a camera, a mirror, a controller; an actuator; and an algorithm. The algorithm instructs the onboard computer in steps for adjusting one or more vehicle features. The first sensor and the controller are in electronic communication with the onboard computer and the controller is in electronic communication with one or more actuators that connect to and adjust the various vehicle features. The onboard computer includes or accesses a database that correlates users, features, and vehicle feature settings. Such vehicle features include seat position and camera viewing angle.

Systems for a shared vehicle

A system, an apparatus or a process may be configured to implement an application that applies artificial intelligence and/or machine-learning techniques to predict an optimal course of action (or a subset of courses of action) for an autonomous vehicle system (e.g., one or more of a planner of an autonomous vehicle, a simulator, or a teleoperator) to undertake based on suboptimal autonomous vehicle performance and/or changes in detected sensor data (e.g., new buildings, landmarks, potholes, etc.). The application may determine a subset of trajectories based on a number of decisions and interactions when resolving an anomaly due to an event or condition. The application may use aggregated sensor data from multiple autonomous vehicles to assist in identifying events or conditions that might affect travel (e.g., using semantic scene classification). An optimal subset of trajectories may be formed based on recommendations responsive to semantic changes (e.g., road construction).

Machine-learning systems and techniques to optimize teleoperation and/or planner decisions

Aspects of the disclosure provide systems and methods for providing suggested locations for pick up and destination locations. Pick up locations may include locations where an autonomous vehicle can pick up a passenger, while destination locations may include locations where the vehicle can wait for an additional passenger, stop and wait for a passenger to perform some task and return to the vehicle, or for the vehicle to drop off a passenger. As such, a request for a vehicle may be received from a client computing device. The request may identify a first location. A set of one or more suggested locations may be selected by comparing the predetermined locations to the first location. The set may be provided to the client computing device.

Determining Pickup and Destination Locations for Autonomous Vehicles

A rental/car-share (RCS) vehicle access and management system and method, in some embodiments, utilizes barcodes, QR codes (or NFC/RFID), GPS, and a mobile app coupled with a wireless network to enable customers to bypass the reservation desk and pickup and drop off reserved RCS vehicles using a mobile phone, tablet or laptop The QR code, RFID, or NFC communication with the mobile application allows for identification of the vehicle by a mobile application, which, if authorized, can access the vehicle via a temporary access code issued by remote servers The remote servers and/or mobile application communicates with a control module that plugs into the on-board diagnostics module of the rental/car-share (RCS) vehicle and includes a host processing unit with a processor, an accelerometer, data storage, a GPS with internal GPS antenna; a wireless modem with internal antenna, and CAN bus transceivers connected with the processor, and a USB programmable interface

Rod W. Demay

Papers

Rental/car-share vehicle access and management system and method