Gm Global Technolgoy Operations, Inc.

Carnegie Mellon University

International Business Machines Corporation

Ragunathan Rajkumar

Junfeng Zhao

Bharatkumar Hegde

Upali Priyantha Mudalige

Chen-Fang Chang

Insu Chang

Chen-fang Chang

Alexander G MacInnis

Eran Kishon

Paolo Giusto

Karthik Lakshmanan

Inderpal S Bhandari

Seyed Reza Azimi

Gaurav Bhatia

Lung En Jan

Weijing Shi

A vehicle and a system and method of operating the vehicle based on a gesture made by a traffic director. The system includes a camera and at least one neural network. The camera obtains an image of a flag operator. The at least one neural network is to generates an encoded hand vector based on a configuration of a hand of the traffic director from the image, combines a skeleton of the traffic director generated from the image and the encoded hand vector to generate a representation vector, and predicts a gesture of the traffic director from the representation vector.

Flagman traffic gesture recognition

A control system of a vehicle includes: a target speed module configured to, using a parametric driver model and based on first driver parameters, second driver parameters, and vehicle parameters, determine a target vehicle speed trajectory for a future predetermined period; a driver parameters module configured to determine the first driver parameters based on conditions within a predetermined distance in front of the vehicle; and a control module configured to adjust at least one actuator of the vehicle based on the target vehicle speed trajectory and a present vehicle speed.

Control systems and methods using parametric driver model

A method for controlling automated driving operations of a vehicle includes determining vehicle origin and destination data, and generating a graphical representation of a road network with multiple candidate routes between the vehicle's origin and destination. Road-level data, including speed, turn angle, and/or gradient data, is received for each candidate route, and respective total energy uses are estimated for the vehicle to traverse across the candidate routes. Multiple candidate driving strategies, each having respective speed and acceleration profiles, are determined for the candidate route with the lowest estimated total energy use. An optimal candidate driving strategy is selected through a cost evaluation of the associated speed and acceleration profiles and forward movement simulations of the vehicle over a prediction horizon. Command signals are transmitted to the vehicle's steering and/or powertrain systems to execute control operations based on the optimal driving strategy and the candidate route with the lowest energy use.

Connected and automated vehicles, driving systems, and control logic for info-rich eco-autonomous driving

Managing task execution in a multi-core processor may be achieved by employing a spinlock and a multi-processor priority ceiling protocol. The spinlock may be employed to effect a dynamically enforceable mutual exclusion constraint. The multi-processor priority ceiling protocol may be employed to effect the dynamically enforceable mutual exclusion constraint to synchronize a plurality of tasks executing in the first and second processing cores of the multi-core processor.

Method and apparatus for improving processing performance of a multi-core processor

A system and method for efficiently and continuously allowing vehicles to travel through an intersection. The method includes broadcasting a synchronization signal to all vehicles that will be entering the intersection and broadcasting an intersection flow time to all of the vehicles that will be entering the intersection that identifies which travel lanes travel in what direction. The method also includes identifying an arrival synchronization pattern for all of the vehicles that will be entering the intersection and controlling a speed of the vehicles traveling through the intersection and a time for the vehicles entering the intersection so that vehicles traveling in perpendicular or cross directions to the intersection will simultaneously travel through the intersection without colliding with each other.

Efficient intersection autonomous driving protocol

This invention is an arbitration scheme for a token-based communications medium which is intended for use when there are timing deadlines for transactions on the medium. Initially knowledge of the expected workload is used to determine for each module its priority as well as the limit on the duration of time lower priority modules can be permitted to use the medium between request and completion of a transaction for this module. A count is maintained for each module of the number of data units that has been transferred on the medium by lower priority modules since the time this module last requested the medium. A module can transmit a selected number of data units if it has the token and the count of none of its higher priority modules has reached a corresponding limit.

Priority-based arbitrator on a token-based communication medium

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Monroeville, PA, United States of America

Ragunathan Rajkumar