Dura Operating, LLC

Ohio State Innovation Foundation

Gordon M Thomas

Donald Raymond Gignac

Aaron Evans Thompson

Danish Uzair Siddiqui

Arda Kurt

Keith Redmill

Rajashekhar Patil

Umit Ozguner

Nizar Trigui

Michael Kenneth Liubakka

Mike Liubakka

A motor vehicle system for generating and transmitting motor vehicle imaging object data includes a communication system module positioned in a host vehicle receiving vehicle attribute data during host vehicle highway travel and preparing a fused object attribute data for transmission. An imaging device collects object imaging data representing objects within a visible detection range of the imaging device. An object detection and classification system module has an object classification sub-module used to classify the objects within the visible detection range as a vehicle type or a pedestrian and to output each as an object attribute data. A target fusion module receives the object attribute data from the object detection and classification system module, fuses the object attribute data with the vehicle attribute data to create the fused object attribute data, and forwards the fused object attribute data to the communication system module for transmission.

Fusion of non-vehicle-to-vehicle communication equipped vehicles with unknown vulnerable road user

A method for autonomously parking or un-parking a motor vehicle includes receiving a map of a parking area having a first temporary obstruction zone, determining a starting location of the motor vehicle relative to the parking area, selecting a destination location within the parking area, setting the first temporary obstruction zone as operative or inoperative, generating a path from the starting location to the destination location, wherein the path does not enter the first temporary obstruction zone when operative, and driving the motor vehicle autonomously along the path from the starting location of the motor vehicle to the destination location.

Method for controlling autonomous valet system pathing for a motor vehicle

A method of generating and communicating lane information from a host vehicle to a vehicle-to-vehicle (V2V) network includes collecting visual data from a camera, detecting a lane within the visual data, generating a lane classification for the lane based on the visual data, assigning a confidence level to the lane classification, generating a lane distance estimate from the visual data, generating a lane model from the lane classification and the lane distance estimate, and transmitting the lane model and the confidence level to the V2V network.

System and method for generating and communicating lane information from a host vehicle to a vehicle-to-vehicle network

A method for autonomously parking or un-parking a motor vehicle includes the steps of locating the motor vehicle within a parking area, setting a destination location within the parking area, generating and setting a path from the location of the motor vehicle to the destination location, and autonomously driving the motor vehicle along the path. The path is generated by (a) generating a first set of nodes from the location of the motor vehicle, (b) assigning a cost to each node in the first set of nodes, (c) selecting a lowest cost node from the first set of nodes, (d) generating another set of nodes from the selected node, (e) assigning a cost to each of the newly generated nodes, (f) selecting a lowest cost node from all of the nodes, and (g) repeating steps (d)-(f) until a lowest cost node is located at the destination location.

Method for autonomously parking and un-parking a motor vehicle

A method for autonomously parking a motor vehicle in various types of parking spots includes the steps of receiving a map of a parking area, locating the motor vehicle within the parking area, selecting a parking spot within the parking area, generating a node tree from the location of the motor vehicle to the parking spot, selecting a path from the node tree, wherein the path connects the location of the motor vehicle to the parking spot, autonomously driving the motor vehicle along the path from the location of the motor vehicle to an intermediate location on the path, and performing a parking maneuver into the parking spot from the intermediate location. The parking maneuver may be a head-in, tail-in, or parallel parking maneuver.

Method for autonomously parking a motor vehicle for head-in, tail-in, and parallel parking spots

A motor vehicle alert system based on vehicle dynamics input includes a communication module positioned in a host vehicle receiving and sending vehicle data in a vehicle mobility data format. A list generator in communication with the communication module generates the vehicle data as specific vehicle identification data in a track list to distinguish a sensed vehicle and at least one other vehicle positioned proximate the host vehicle. A tracker module in communication with the list generator periodically updates the vehicle data for the sensed vehicle and the at least one other vehicle. A transient condition data device generates data identifying when a transient condition of the sensed vehicle is present. A message standard conformance module receives the data identifying the transient condition and forwards the data identifying the transient condition to the communication module for transmission to the at least one other vehicle proximate to the host vehicle.

System and method for providing alert to a vehicle or an advanced driver assist system based on vehicle dynamics input

A method for fusing sensor information detected by a host vehicle and at least one remote vehicle-to-vehicle (V2V) communication equipped vehicle includes collecting visual data from an optical sensor of a vision sub-system, and collecting V2V data from remote vehicles. The method further includes executing a control logic including a first control logic for generating a base lane model and a base confidence level, a second control logic that fuses together the V2V data, the base lane model, and the base confidence level, and a third control logic that generates from the fused lane model, the V2V data, the base lane model, and the base confidence level, a final lane model and final confidence level, and assigns a priority to the final lane model.

Sensor fusion of camera and V2V data for vehicles

A method for autonomously parking or un-parking a motor vehicle includes locating the motor vehicle relative to a parking area, selecting a destination location within the parking area, generating a path from the location of the motor vehicle to the destination location, wherein the path includes a plurality of linked nodes, each node having a cost associated therewith, wherein the cost of a child node is equal to an inherited cost plus a base cost and a change cost, wherein the change cost is a function of characteristics of a parent node, and autonomously driving the motor vehicle along the path from the location of the motor vehicle to the destination location.

Optimized path planner for an autonomous valet parking system for a motor vehicle

A scalable driver assistance system for a motor includes a central safety domain controller having a first perception logic circuit communicatively coupled to a first chipset socket and to a second chipset socket, wherein the first chipset socket is communicatively coupled to the second chipset socket and to a third chipset socket. A first long range front camera is communicatively coupled to the first perception logic circuit and a plurality of surround view cameras communicatively are coupled to the first perception logic circuit. The central safety domain controller provides first and second levels of driver assistance, and additional circuits or microcontrollers may be selectively connected into one of the first, second, and third chipset sockets to provide third, fourth, or fifth levels of automated driving assistance.

Scalable driver assistance system

A motor vehicle system for generating and transmitting detected object attributes includes a communication system module positioned in a host vehicle receiving vehicle attribute data from a target vehicle and a sensed vehicle and preparing a fused object attribute data for transmission to the target vehicle. A vehicle track data sub-module in communication with the communication system module independently tracks the sensed vehicle and the target vehicle. An object detection and classification system module having a 3D object detection module identifies a vehicle type defined at least by a vehicle size and generates an object attribute data. A target fusion module receives the object attribute data from the object detection and classification system module, fuses the object attribute data with the vehicle attribute data to create the fused object attribute data, and forwards the fused object attribute data to the communication system module for transmission.

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Beverly Hills, MI, United States of America

Gordon M Thomas