Abstract: Disclosed are computer systems and techniques for authenticating a passenger of an autonomous vehicle and operating doors of the autonomous vehicle. For passenger authentication, the computer system is configured to receive a ride request, generate a passcode, transmit the passcode to a user account and the autonomous vehicle, authenticate the user using the passcode, and enable departure of the autonomous vehicle. For door operation, the computer system is configured to detect environmental conditions surrounding an autonomous vehicle, determine based on a set of operational conditions whether one or more doors of the autonomous vehicle are desirable for use, and operate a door if the door is safe to operate and desirable for operation.

Abstract: Disclosed are computer systems and techniques for authenticating a passenger of an autonomous vehicle and operating doors of the autonomous vehicle. For passenger authentication, the computer system is configured to receive a ride request, generate a passcode, transmit the passcode to a user account and the autonomous vehicle, authenticate the user using the passcode, and enable departure of the autonomous vehicle. For door operation, the computer system is configured to detect environmental conditions surrounding an autonomous vehicle, determine based on a set of operational conditions whether one or more doors of the autonomous vehicle are desirable for use, and operate a door if the door is safe to operate and desirable for operation.

Abstract: Among other things, we describe systems and method for implementing data security in an autonomous vehicle system. The systems and methods can include inter-process communication security via key management, in which asymmetric cryptography and other validation techniques are used to validate data received from sensors. The systems and method can also include penetrative testing, in which valid sensor inputs are modified and transmitted throughout a distributed network through one or more sensors.

Abstract: Embodiments herein relate to a controller area network (CAN) Ethernet gateway (CEG) is communicatively coupled with a first CAN bus and a second CAN bus, and configured to generate a user datagram protocol (UDP) packet. The UDP packet includes a packet header, a first data portion that includes a CAN header and CAN data related to the first CAN bus, and a second data portion that includes a CAN header and CAN data related to the second CAN bus. Other embodiments are described and/or claimed.

Abstract: Among other things, we describe systems and method for implementing data security in an autonomous vehicle system. The systems and methods can include inter-process communication security via key management, in which asymmetric cryptography and other validation techniques are used to validate data received from sensors. The systems and method can also include penetrative testing, in which valid sensor inputs are modified and transmitted throughout a distributed network through one or more sensors.

Abstract: Embodiments herein relate to a controller area network (CAN) Ethernet gateway (CEG) is communicatively coupled with a first CAN bus and a second CAN bus, and configured to generate a user datagram protocol (UDP) packet. The UDP packet includes a packet header, a first data portion that includes a CAN header and CAN data related to the first CAN bus, and a second data portion that includes a CAN header and CAN data related to the second CAN bus. Other embodiments are described and/or claimed.

Abstract: A vehicle control system includes an object-detector, a location-detector, a configuration-map, and a controller-circuit. The object-detector is configured to detect objects proximate to a host-vehicle. The location-detector is configured to indicate a location of the host-vehicle. The configuration-map is configured to indicate a configuration of the object-detector for the location of the host-vehicle when the host-vehicle is operated in an automated-mode. The controller-circuit is in communication with the location-detector, the configuration-map, and the object-detector. The controller-circuit is configured to operate the object-detector in accordance with the configuration for the location of the host-vehicle when the host-vehicle is operated in an automated-mode, detect a human-override of the automated-mode at the location, and update the configuration-map for the location in accordance with objects detected and in response to the human-override of the automated-mode.

Abstract: Disclosed are computer systems and techniques for authenticating a passenger of an autonomous vehicle and operating doors of the autonomous vehicle. For passenger authentication, the computer system is configured to receive a ride request, generate a passcode, transmit the passcode to a user account and the autonomous vehicle, authenticate the user using the passcode, and enable departure of the autonomous vehicle. For door operation, the computer system is configured to detect environmental conditions surrounding an autonomous vehicle, determine based on a set of operational conditions whether one or more doors of the autonomous vehicle are desirable for use, and operate a door if the door is safe to operate and desirable for operation.

Abstract: Among other things, we describe systems and method for implementing data security in an autonomous vehicle system. The systems and methods can include inter-process communication security via key management, in which asymmetric cryptography and other validation techniques are used to validate data received from sensors. The systems and method can also include penetrative testing, in which valid sensor inputs are modified and transmitted throughout a distributed network through one or more sensors.

Abstract: A vehicle control system includes an object-detector, a location-detector, a configuration-map, and a controller-circuit. The object-detector is configured to detect objects proximate to a host-vehicle. The location-detector is configured to indicate a location of the host-vehicle. The configuration-map is configured to indicate a configuration of the object-detector for the location of the host-vehicle when the host-vehicle is operated in an automated-mode. The controller-circuit is in communication with the location-detector, the configuration-map, and the object-detector. The controller-circuit is configured to operate the object-detector in accordance with the configuration for the location of the host-vehicle when the host-vehicle is operated in an automated-mode, detect a human-override of the automated-mode at the location, and update the configuration-map for the location in accordance with objects detected and in response to the human-override of the automated-mode.

Abstract: A route-planning system suitable for use on an automated vehicle includes a memory and a controller. The memory is used to store map-data indicative of a plurality of possible-routes to a destination. Each possible-route is characterized by a difficulty-score. The controller is in communication with the memory. The controller is operable to select from the memory a preferred-route from the plurality of possible-routes. The preferred-route is selected based on the difficulty-score.