Omnitracs, LLC

Paccar Inc.

Overhead Door Corporation

Tc (bermuda) License, Ltd.

Other

Cummins Inc.

Wesley Mays

Steven Karl Jahns

Zachary Slaton

Josef Lotz

John William Arthur Doll

Andrew Paul Harbach

Floris Van Der Meijs

Cas Droogendijk

Jeffrey A Champa

Kevin Haugh

Richard Glasmann

Philip Friedman

Vivek Anand Sujan

Kenneth M Follen

Phani Kiran Vajapeyazula

James Lee Fortuna

An Wu

Howard Robert Frost

Barty L Moffett

Suk-Min Moon

Stephen Patrick Simon

Christopher Tarte

Duane Wrasman

Jaidev Khatri

David Allen Schaller

Erik M Binns

Matthew A Cullum

Aspects of the present disclosure provide a network control center that coordinates candidate vehicles suited for platooning based at least in part on the hours of service (HOS) requirements, customer constraints, and service time of each candidate vehicle. Further, the network control center may integrate a navigation system that incorporates one or more of the above factors to manage logistics associated with platooning vehicles.

Control system for platooning of vehicles

The described features of the present disclosure generally relate to one or more improved systems for analyzing driver performance with respect to a driving event that is correlated with corresponding image or video data (e.g., video captured by cameras mounted around the truck). Specifically, before the driving event is recorded against the driver's performance assessment, the techniques of the present disclosure analyze the image or video data corresponding to external environmental conditions around the vehicle and corresponding to the driving event (e.g., abrupt application of brakes) in order to determine whether the driver was at fault or if the driver actions were in response to conditions out of the control of the driver.

Driving event assessment system

The disclosure provides a system and method of delivering packages. The system may include a plurality of land vehicles that transport a plurality of unmanned aerial vehicles (UAVs) to locations within a distance of delivery destinations. The system may determine, based on a number of packages to be delivered to destinations in a geographical area, a number of land vehicles to carry the packages to within a UAV round-trip range of each of the destinations. The system may allocate the number of packages to the number of land vehicles. The system may determine a route for each land vehicle that brings the land vehicle within the UAV round-trip range of each destination. The system may dispatch the UAVs carrying the packages from the land vehicle at dispatch locations along the respective route.

Vehicle and drone management system

Aspects of the present disclosure are generally related to one or more systems, methods, and devices for providing an integrated tire inflation system, mounted on each tire, wheel, rim, axle, or structure of the vehicle, that communicates with a remote device (e.g., communication device located in the cab of the vehicle and/or a remote network entity) and obtains an optimal tire pressure from the network entity that is calculated to maximize fuel economy, tread life, load, or an environmental condition. In some examples, the integrated telematics system may periodically measure and transmit data associated with the tire to the communication device in the cab and/or to a network entity that may calculate the optimal tire pressure for each tire on the vehicle. The integrated telematics system may receive the optimal tire pressure information from the communication device and/or the network entity and automatically adjust the tire pressure accordingly.

Tire pressure optimization system

A vehicle may include a controller configured to control the vehicle to operate in an active control mode or a passive control mode. In the passive control mode, the controller may provide a feedback indicator on a human machine interface. In the active control mode, the controller may provide a control command to an engine control unit.

Route-vehicle road load management and/or operator notification thereof

The present disclosure generally relates to autonomous commercial vehicles. In one aspect, the disclosure provides a method for controlling a commercial highway vehicle. The method includes detecting a failure of a first component based on a first signal from a first sensor. The method also includes classifying, by an automated driving system on the vehicle, a severity of the component failure. The method further includes determining to stop the vehicle if the severity exceeds a threshold severity level. The method also includes determining an emergency stopping distance based on the severity and a current momentum of the vehicle. The method further includes determining a stopping location within the emergency stopping distance. The method also includes stopping the vehicle at the stopping location. The present disclosure also provides an autonomous commercial vehicle and an emergency control system for performing the method.

Emergency stopping for autonomous commercial vehicles

An on-board vehicle computer system for a vehicle includes at least one processing unit and a memory having stored therein computer-executable instructions configured to cause the on-board vehicle computer system to implement various aspects of a predictive cruise control (PCC) system. In one aspect, the computer system provides a plurality of available speed control bands in a PCC system, and the available speed control bands are selectable by an operator of the vehicle. In another aspect, the computer system provides an upper speed margin and a lower speed margin for a PCC system, and the upper and lower speed margins are adjustable by an operator of the vehicle. Related notifications may be presented via an operator interface (e.g., a touchscreen display provided in a vehicle dashboard or other easily accessible area).

Predictive cruise control system with advanced operator control and feedback

Aspects of the present disclosure generally relate to one or more systems, methods, and/or devices for an advanced warning system that alerts drivers of potential upcoming traffic conditions (e.g., accidents or traffic slowdowns) based on active monitoring of vehicle parameters (e.g., speed, braking, air bag deployment, etc.) associated with other vehicles traveling ahead in the same direction. Thus, in some aspects, the advanced warning system may receive, at a network device (e.g., network management center (NMC)), one or more parameters from a first mobile computing platform (MCP) associated with a first vehicle and determine, at the network device, whether a traffic condition has developed on a stretch of highway based on the one or more parameters.

Advanced warning system

Aspects of the present disclosure are generally related to one or more systems, methods, and devices for forecasting the likelihood of locating available parking spaces at various remote locations, and navigating a vehicle to the available parking space. In some examples, aspects of the present disclosure may utilize a variety of data sources (e.g., historical data, surveyed data, and real-time parking availability data) in order to predict the likelihood of locating the available parking space within the confines of an available hours of service (HOS) requirement of a driver of the vehicle.

Vehicle parking system

Predictive cruise control system with selectable speed control bands

Embodiments relate to using a UAV for assisting drivers of large wheeled vehicles when backing up in reverse and for conducting pre-trip inspections of the wheeled vehicle prior to driving. The UAV can be a multirotor copter using simultaneous localization and mapping technology to maneuver autonomously. Alternatively, the driver of the wheeled vehicle may use remote control to maneuver the UAV.

Drone systems for pre-trip inspection and assisted backing

Generally described, aspects of the disclosed subject matter are directed to managing communications from a mobile device. In accordance with one embodiment, a method for establishing a communication session with a contact is provided. The method includes causing information about at least one contact associated with the user to be displayed on the mobile device and receiving input to initiate a communication session with the contact. Then, if the identified contact is associated with a CB radio, a CB based communication session is established in which audio is transmitted and received from the mobile device using a CB radio communication unit. On the other hand, if the identified contact is associated with a remote device capable of performing data-based communications, a data-based communication session is established and which data is transmitted and received in accordance with IP-based protocols.

In-vehicle communication device with social networking

Operational efficiency and/or control systems and methods for vehicles are provided in order to improve fuel efficiency when traveling in a fuel powered vehicle from point A to point B. The systems and methods can determine the 'best' or most efficient route to take based on one or more priorities, make driving recommendations to the operator, and/or automatically control one or more systems (e.g., engine, brakes, transmission, etc.) of the vehicle. The systems and methods can calculate the 'best' route based on predefined trip requirements, including cost, schedule, route preferences, and/or risk of potential delays, etc.

Growing community of inventors

Coppell, TX, United States of America

Wesley Mays