Peloton Technology, Inc.

Other

Stephen Michael Erlien

Joshua P Switkes

Austin Bennett Schuh

Colleen Twitty

Lorenz Laubinger

Stephan Pleines

Evan Nakano

John L Jacobs

Charles A Price

James Kuszmaul

Todd Christopher Klaus

John Connelly Kegelman

Brian Jeremy Silverman

Joshua Phillip Switkes

A variety of methods, controllers and algorithms are described for identifying the back of a particular vehicle (e.g., a platoon partner) in a set of distance measurement scenes and/or for tracking the back of such a vehicle. The described techniques can be used in conjunction with a variety of different distance measuring technologies including radar, LIDAR, camera based distance measuring units and others. The described approaches are well suited for use in vehicle platooning and/or vehicle convoying systems including tractor-trailer truck platooning applications. In another aspect, technique are described for fusing sensor data obtained from different vehicles for use in the at least partial automatic control of a particular vehicle. The described techniques are well suited for use in conjunction with a variety of different vehicle control applications including platooning, convoying and other connected driving applications including tractor-trailer truck platooning applications.

Gap measurement for vehicle convoying

A system and method for mitigating or avoiding risks due to hazards encountered by platooning vehicles. The system and method involve interrogating, with one or more sensors, a space radially extending from a lead vehicle as the lead vehicle travels over the road surface, perceiving the environment within the space, ascertaining a hazard caused by an object in the space, and causing a following vehicle, operating in a platoon with the lead vehicle, to take a preemptive braking action to avoid or mitigate risks resulting from the hazard caused by the object in the space.

System and method for implementing precognition braking and/or avoiding or mitigation risks among platooning vehicles

Systems and methods for increasing the efficiency of vehicle platooning systems are described. In one aspect, drivers are more likely to enjoy a system if it begins platooning as desired and does not accidently end platoons. When a certain amount of data packets sent between vehicles are dropped, systems typically will either not engage in a platoon or end a current platoon. When a platoon has a very small gap between vehicles, the platoon should end—or not start, when a certain amount of packets are dropped. However, if a gap is large enough to provide a driver with more time to react, a system may accept a greater amount of dropped packets before it refuses to start a platoon or causes the end of a platoon.

Systems and methods for managing communications between vehicles

Various applications for use of mass estimations of a vehicle, including to control operation of the vehicle, sharing the mass estimation with other vehicles and/or a Network Operations Center (NOC), organizing vehicles operating in a platoon and/or partially controlling the operation of one or more vehicles operating in a platoon based on the relative mass estimations between the platooning vehicles. When vehicles are operating in a platoon, the relative mass between a lead and a following vehicle may be used to scale torque and/or brake commands generated by the lead vehicle and sent to the following vehicle.

Applications for using mass estimations for vehicles

Systems and methods for increasing the efficiency of vehicle platooning systems are described. In one aspect, drivers are more likely to enjoy a system if it begins platooning as desired and does not accidently end platoons. When a certain amount of data packets sent between vehicles are dropped, systems typically will either not engage in a platoon or end a current platoon. When a platoon has a very small gap between vehicles, the platoon should end&#x2014;or not start, when a certain amount of packets are dropped. However, if a gap is large enough to provide a driver with more time to react, a system may accept a greater amount of dropped packets before it refuses to start a platoon or causes the end of a platoon.

System and method for implementing pre-cognition braking and/or avoiding or mitigation risks among platooning vehicles

Controllers, control architectures, systems and methods are described for controlling a host vehicle's participation in a platoon. Described vehicle platooning control systems may include a platoon controller and a vehicle interface controller. The platoon controller is configured to determine torque and braking requests for at least partially automatically controlling the host vehicle to platoon with a platoon partner. The vehicle interface controller manages communications between the platoon controller and one or more host vehicle control units. The vehicle interface controller may also include a safety monitor including one or more safety monitoring algorithms In some embodiments, the vehicle interface controller is at least ASIL-C compliant, whereas the platoon controller and an optional gateway processor may be QM rated under ISO 26262. The platoon controller may be configured as a listener capable of receiving but not transmitting messages on the host vehicle's control related communication bus(es).

Automated vehicle control system architecture

A variety of methods, controllers and algorithms are described for controlling a vehicle to closely follow one another safely using automatic or partially automatic control. The described control schemes are well suited for use in vehicle platooning and/or vehicle convoying applications, including truck platooning and convoying controllers. In one aspect, a power plant (such as an engine) is controlled using a control scheme arranged to attain and maintain a first target gap between the vehicles. Brakes (such as wheel brakes) are controlled in a manner configured to attain and maintain a second (shorter) target gap. Such control allows a certain degree of encroachment on the targeted gap (sometimes referred to as a gap tolerance) before the brakes are actuated. The described approaches facilitate a safe and comfortable rider experience and reduce the likelihood of the brakes being actuated unnecessarily.

Dynamic gap control for automated driving

Systems and methods are described for coordinating and controlling vehicles, for example heavy trucks, to follow closely to behind each other, or linking to form a platoon. In one aspect, on-board controllers in each vehicle interact with vehicle sensors to monitor and control, for example, gross vehicle weight, axle loads, and stopping distance. In some aspects, two vehicles can determine information associated with their gross weight and axle load, and apply that information to assist with determining a bounding box indicating which vehicle will take longer to stop. Based on which vehicle will take longer to stop, an order of vehicles in a potential platoon is determined.

Devices, systems, and methods for vehicle braking

A variety of methods, controllers and algorithms are described for fusing sensor data obtained from different vehicles for use in the at least partial automatic control of a particular vehicle. The described techniques are well suited for use in conjunction with a variety of different vehicle control applications including platooning, convoying and other connected driving applications including tractor-trailer truck platooning applications.

Growing community of inventors

Mountain View, CA, United States of America

Stephen Michael Erlien