Gm Global Technolgoy Operations, Inc.

Tianxiang Cao

Wenyuan Qi

Mohammad Naserian

Kemal E Tepe

Zhengyu Xing

A method of soliciting an occupant intervention for a simultaneous localization and mapping-based navigation system. A vehicle path plan and a motion control instruction are created and a suspected obstacle in a drive path is identified, wherein the drive path provides a portion of the vehicle path plan. The method further includes providing an indication on a first display that an intervention by an occupant is requested and determining if the occupant is paying attention to the indication on the first display. A system of performing the method includes a controller configured to execute instructions executing the method.

Simultaneous localization and mapping based vehicle navigation systems enhanced by driver interactions

An automated driving system (ADS) of an autonomous vehicle includes a communication module, a perception module, a misbehavior detection module, and a processor. The communication module is configured to receive a vehicle-to-vehicle (V2V) message comprising message-based vehicle data. The perception module configured to receive sensor data from at least one vehicle sensing device. The misbehavior detection module is configured to determine whether the V2V message is one of a legitimate message and a malicious message based at least in part on a comparison of the message-based vehicle data with sensor-based vehicle data generated based on the sensor data. The processor is configured to manage performance of the autonomous vehicle in accordance with the message-based vehicle data based on the determination. Other embodiments are described and claimed.

Systems and methods for detecting misbehavior behavior at an autonomous driving system

An automated driving system (ADS) of an autonomous vehicle includes a communication module, a misbehavior detection module, and a processor. The communication module is configured to receive a vehicle-to-vehicle (V2V) message including source vehicle data and receive a fusion data message including fusion data from a mobile edge computing (MEC) system including a roadside unit (RSU). The source vehicle data includes a source vehicle location. The fusion data is based on RSU sensed data and on vehicle sensed data received at the RSU from at least one vehicle. The misbehavior detection module is configured to determine whether a source vehicle is disposed at the source vehicle location based on the fusion data. The processor is configured to manage performance of the autonomous vehicle in accordance with the source vehicle data based at least in part on the determination. Other embodiments are described and claimed.

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Shanghai, China

Tianxiang Cao