Peloton Technology, Inc.

Nissan Motor Company Limited

Leland Stanford Junior University

Shad Mitchell Laws

Joshua P Switkes

Mark S Luckevich

Trevor Laing

Joseph Jackson Bendor

Yoshitaka Deguchi

Shinichiro Joe

Brian Eric Smartt

Oliver Thomas Bayley

Austin Bennett Schuh

Joseph Christian Gerdes

Lorenz Laubinger

Colleen Twitty

Art Gavrysh

Carlos Rosario

Dean Hogle

Andrew Tamoney

Eric Monsler

Louis Donayre

Joyce Tam

Yung-Hsiang Judy Hsu

Laurenz Laubinger

Richard Pallo

Brian Silverman

Tabitha Jarvis

Murad Bharwani

Mark Herbert

Steven Erlein

Marc Tange

Systems and methods for coordinating and controlling vehicles, for example heavy trucks, to follow closely behind each other, or linking to form a platoon. In one aspect, on-board controllers in each vehicle interact with vehicular sensors to monitor and control, for example, gear ratios on vehicles. A front vehicle can shift a gear which, via a vehicle-to-vehicle communication link, can cause a rear vehicle to shift gears. To maintain a gap, vehicles may shift gears at various relative positions based on a grade of a road.

Devices, systems, and methods for transmitting vehicle data

Disclosed herein are a method and apparatus for automated following behind a lead vehicle. The lead vehicle navigates a path from a starting point to a destination. The lead vehicle and the following vehicle are connected via V2V communication, allowing one or more following vehicles to detect the path taken by the lead vehicle. A computerized control system on the following vehicle (a Follow-the-Leader, or FTL, system) allows the following vehicle to mimic the behavior of the lead vehicle, with the FTL system controlling steering to guide the following vehicle along the path previously navigated by the lead vehicle. In some embodiments, the lead vehicle and following vehicle may both use Global Navigation Satellite System (GNSS) position coordinates. In some embodiments, the following vehicle may also have a system of sensors to maintain a gap between the following and lead vehicles.

Control of automated following in vehicle convoys

Systems and methods for causing a vehicle to avoid an adverse action are described. In one aspect, a sensor on first vehicle may determine the existence and location of lane markers or objects, and use that information to cause a second vehicle to avoid exiting its lane or colliding with an object. Data transmitted from a first vehicle to a second vehicle may be used to determine a path for the second vehicle, such that it avoids an adverse action. This data may include information used to determine a pose of the second vehicle, kinematics of the second vehicle, determine dimensions of the second vehicle, and potential adverse actions. This data may be transmitted while the vehicles are platooning.

Systems and methods for managing tractor-trailers

Systems and methods for coordinating and controlling vehicles, for example heavy trucks, to follow closely behind each other, or linking to form a platoon. In one aspect, on-board controllers in each vehicle interact with vehicular sensors to monitor and control, for example, relative distance, relative acceleration or deceleration, and speed. In some aspects, a lead vehicle can wirelessly transmit information from various electronic control units (ECUs) to ECUs in a rear vehicle. A rear vehicle can then apply transformations to the information to account for a desired following distance and a time offset. ECUs onboard the rear vehicle may then be controlled based on the ECUs of the lead vehicle, the desired following distance, and the time offset.

A tire state estimator includes a lateral force upper limit estimating section, a lateral force estimating section, and a tire slip angle estimating section. The lateral force upper limit estimating section calculates an estimated tire lateral force upper limit, on a basis of an estimated tire slip angle and a measured tire self aligning torque. The lateral force estimating section calculates an estimated tire lateral force, on a basis of the estimated tire lateral force upper limit calculated by the lateral force upper limit estimating section and the estimated tire slip angle. The tire slip angle estimating section calculates the estimated tire slip angle, on a basis of the estimated tire lateral force calculated by the lateral force estimating section and a measured vehicle state.

Tire state estimator and tire state estimation method

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Palo Alto, CA, United States of America

Shad Mitchell Laws