Beijing Voyager Technology Co., Ltd.

Didi Research America, LLC

Qi Chen

Yu Wang

Fengmin Gong

Xiaoyong Yi

Jiang Zhang

Zafar Takhirov

Disclosed are techniques for securing electronic control units (ECUs) in a vehicle. A security platform for a vehicle includes a key distribution center (KDC) for the vehicle. The KDC is configured to verify that a digital certificate associated with a first electronic control unit (ECU) on the vehicle is a valid certificate, where the digital certificate indicates a first security level of the first ECU. The KDC is configured to generate, based on the first security level of the first ECU, one or more security keys for secure communication between the first ECU and a set of ECUs on the vehicle, and provision the one or more security keys to the first ECU and the set of ECUs. In some embodiments, the KDC uses the provisioned keys to authenticate each ECU when the vehicle is powered up.

Trusted platform protection in an autonomous vehicle

Embodiments of the disclosure provide systems and methods for ballistically estimating vehicle data. The system may include a communication interface configured to receive a first vehicle measurement taken at a first time point and a second vehicle measurement taken at a second time point. The system may further include at least one processor. The at least one processor may be configured to estimate a first version of vehicle data at a first speed for each of the second time point and a plurality of intermediate time points between the first time point and the second time point based on the first vehicle measurement using a prediction model. The at least one processor may be further configured to compute a second version of vehicle data at a second speed for the second time point based on the second vehicle measurement. The first speed is faster than the second speed. The at least one processor may also be configured to determine whether to update the prediction model based on a comparison between the first version of vehicle data and the second version of vehicle data for the second time point.

Ballistic estimation of vehicle data

Technologies disclosed relate to a remote intervention system for the operation of a vehicle, which can be an autonomous vehicle, a vehicle that includes driver assist features, a vehicle used for ride sharing services or the like. The system includes a vehicle sending a request for remote intervention to a remote operator when the operation of the vehicle is suspended. The request for remote intervention can include a request for object identification or a request for decision confirmation. The vehicle can update vehicle operation based in part on vehicle-based sensor data and a response to the remote intervention request from the remote operator. The remote operator can be a human operator or an AI operator.

System and method for updating vehicle operation based on remote intervention

A vehicle can include an on-board data processing system that receives sensor data captured by various sensors of the vehicle. As a vehicle travels along a route, the on-board data processing system can process the captured sensor data to identify a potential vehicle stop. The on-board data processing system can then identify geographical coordinates of the location at which the potential vehicle stop occurred, use artificial intelligence to classify a situation of the vehicle at the potential stop, and determine whether the stop was caused by a road obstacle, such as a speed bump, a gutter, an unmarked crosswalk, or any other obstacle not at an intersection. If the stop was caused by the road obstacle, the on-board data processing system can generate virtual stop or yield line data corresponding to the identified geographic coordinates and transmit this data to a server over a network for processing.

Vehicle-based road obstacle identification system

Technologies disclosed relate to a remote intervention system for the operation of a vehicle, which can be an autonomous vehicle, a vehicle that includes driver assist features, a vehicle used for ride sharing services or the like. The system includes a remote operator receiving a request for remote intervention from a vehicle when the operation of the vehicle is suspended and sending a response to the vehicle. The vehicle can transmit visual data detected by one or more sensors on the vehicle to the remote operator. The remote operator can output a response after analyzing the visual data transmitted by the vehicle. The remote operator can be a human operator or an AI operator. The response can result in an update of the vehicle operation.

System and method for remote intervention of vehicles

Systems and methods are provided for smart-landmark-based positioning. Such methods may include detecting, using a sensor mounted on a vehicle, a landmark object, obtaining landmark information of the detected landmark object, the landmark information including identification of the landmark object and an encrypted location of the landmark object, transmitting, from the vehicle over a wireless network, a query including at least part of the obtained landmark information, receiving, by the vehicle over the wireless network, a query response including additional information of the landmark.

Smart landmark

A vehicle can include an on-board data processing system that receives velocity data captured by one or more sensors of the vehicle. As a vehicle travels along a route, the on-board data processing system can process the velocity data to identify potential vehicle stops. For example, the system can detect a trough in velocity values, and determine whether a velocity value at the trough is below a threshold velocity value. If the velocity value is below the threshold velocity value, the system can determine whether any vehicle stops were previously detected within a threshold time of the time corresponding to the trough. If a vehicle stop was previously detected, the system may detect that a stop occurred at the time of the trough if the velocity of the vehicle increased by at least a velocity ripple value between the time of the previously-detected stop and the time of the trough.

On-board vehicle stop cause determination system

Methods and systems for improving security of a vehicle are disclosed. In one embodiment, a method comprises receiving, from a requester, a request to access a vehicle compartment of a vehicle; determining a scope of access of the vehicle compartment for the requester based on an operation of the vehicle; and configuring a lock mechanism of the vehicle compartment based on the scope of access.

Method and system for managing access of vehicle compartment

Disclosed are techniques for securing electronic control units (ECUs) in a vehicle while allowing secure repairing of the ECUs. A method of repairing a vehicle includes disabling message authentication in secure communication between any two ECUs in a plurality of ECUs on the vehicle, detecting a first ECU that has been changed based on detecting an absence of a valid security key on the first ECU, verifying that a digital certificate associated with the first ECU is a valid certificate, generating one or more security keys for secure communication between the first ECU and a set of ECUs in the plurality of ECUs, provisioning the one or more security keys to the first ECU and the set of ECUs, and enabling the message authentication in secure communication between any two ECUs of the plurality of ECUs.

Repair management system for autonomous vehicle in a trusted platform

A vehicle can include an on-board data processing system that receives sensor data captured by various sensors of the vehicle. As a vehicle travels along a route, the on-board data processing system can process the captured sensor data to identify a potential vehicle stop. The on-board data processing system can then identify geographical coordinates of the location at which the potential vehicle stop occurred, use artificial intelligence to classify a situation of the vehicle at the potential stop, and determine whether the stop was caused by an unmarked intersection or a location at which vehicles typically yield to oncoming traffic using the classification and/or map data. If the stop was caused by an unmarked intersection or a yielding maneuver, the on-board data processing system can generate virtual stop or yield line data corresponding to the identified geographic coordinates and transmit this data to a server over a network for processing.

Growing community of inventors

Burlingame, CA, United States of America

Qi Chen