Philips
Senior Manager
Toyota Feb 2006 - Jul 2012
Manager
Kelly Services Sep 1, 2005 - Feb 1, 2006
Senior Research Engineer
Omnilux Jan 2003 - Aug 2005
Senior Software Engineer
Idealab Sep 2001 - Jan 2003
Software Engineer
Education:
University of Rome Tor Vergata 2001 - 1995
Masters, Engineering
Scuola Media Gianni Rodari 1988
Skills:
C++ Boost C++ Embedded C Python Java Linux Systems Engineering Control Engineering Mathematics Wireless Networking Automotive Perl Visual Basic Uml Management Ada Eiffel Design By Contract Fortran Matlab Simulink Mathematica Scilab Derive Mysql Postgresql Odbc Snmp Subversion Cvs Trac Bugzilla Ms Windows Corba Adas Ms Project Microsoft Excel Powerpoint Microsoft Word
Carter Moursund - San Diego CA, US Lorenzo Caminiti - Pasadena CA, US Enrico Di Bernardo - Pasadena CA, US Luis Goncalves - Pasadena CA, US
Assignee:
Clearmesh Networks, Inc. - Pasadena CA
International Classification:
H04B 5/00
US Classification:
455411, 370469, 370316, 370328
Abstract:
The present invention uses data from several sources to determine lines-of-sight between nodes in a FSO network. The present invention provides a three-dimensional neighborhood modeling system that uses aerial image data, Digital Elevation Models, U. S. street map data and address data to automatically map the placement of nodes within a neighborhood or other geographical area. Method for creating the 3-Dimensional, House and Tree Maps used in the line-of-sight processing are also disclosed. A House Map in the present invention identifies houses in an area of consideration, and a Tree Map in the present invention identifies trees in an area of consideration. A 3-Dimensional Map in the present invention provides an elevation for every pixel for the area under consideration, whereby the elevation is adjusted for the height of trees, houses and other objects.
Relevancy Check For Vehicle Safety Messages Using A Path History
Lorenzo Caminiti - Ann Arbor MI, US Derek S. Caveney - Ann Arbor MI, US Kenneth P. Laberteaux - Ann Arbor MI, US Michael E. Samples - Toledo OH, US
Assignee:
Toyota Motor Engineering & Manufacturing North America, Inc. - Erlanger KY
International Classification:
G08G 1/16
US Classification:
701301, 701300
Abstract:
There is disclosed a method for avoiding a collision in a vehicle including the steps of: providing a transmitting vehicle, providing a receiving vehicle, creating data information in the transmitting vehicle, sending the data information to the receiving vehicle, and determining the relevancy of the data information to the receiving vehicle using a current position and heading of the receiving vehicle.
Computing Platform For Multiple Intelligent Transportation Systems In An Automotive Vehicle
Lorenzo Caminiti - Ann Arbor MI, US Michael E. Samples - Toledo OH, US Michael R. James - Dearborn MI, US Kenneth P. Laberteaux - Ann Arbor MI, US Derek S. Caveney - Ann Arbor MI, US Jeff B. Rogers - Ann Arbor MI, US
Assignee:
Toyota Motor Engineering & Manufacturing North America, Inc. - Erlanger KY
International Classification:
G01M 17/00 G06F 7/00 G06F 19/00
US Classification:
701 29, 701 33, 340 31, 340 343, 340 36
Abstract:
A computing platform for multiple intelligent transportation systems in an automotive vehicle having a plurality of sensors which generate output signals representative of various vehicle operating parameters. The platform includes a vehicle data center which receives input signals from the vehicle sensors and the vehicle data center is configured to transform these input signals into output signals having a predetermined format for each of the vehicle operating parameters. A central processing unit receives the output signal from the vehicle data and is programmed to process the vehicle data center output signals for each of the intelligent transportation systems and generate the appropriate output signals as a result of such processing.
System And Method For Stochastically Predicting The Future States Of A Vehicle
Derek Stanley Caveney - Ann Arbor MI, US Andrew James Frantz - Boulder CO, US Jeffrey Clark Lovell - Midland MI, US Lorenzo Caminiti - Ann Arbor MI, US
Assignee:
Toyota Motor Engineering & Manufacturing North America, Inc. - Erlanger KY
International Classification:
G06F 17/10
US Classification:
701301
Abstract:
A method for predicting future states of a vehicle including the steps of selecting a model having n states reflecting dynamic features of the vehicle; inputting noisy sensor measurements representing a current state of the vehicle to generate (2n+1) sigma points Xwhere i=0,. . . . 2n, each of the sigma points having n states; performing (2n+1) integrations, each integration includes propagating the n-states of the respective sigma points Xthrough the non-linear function Y=f(X); and combining the propagated sigma points to generate the predicted future states of the vehicle.
Computationally Efficient Intersection Collision Avoidance System
Lorenzo Caminiti - Ann Arbor MI, US Evan Quisenberry - Berkley MI, US Christopher Peplin - Pittsburgh PA, US Domitilla Del Vecchio - Ann Arbor MI, US Rajeev Verma - Ann Arbor MI, US
Assignee:
Toyota Motor Engineering & Manufacturing North America, Inc. - Erlanger KY The Regents of the University of Michigan - Ann Arbor MI
The present invention discloses a back-propagating intersection collision avoidance (ICA) system for preventing two or more vehicles from colliding at an intersection. The ICA system can calculate predicted positions of the two or more vehicles in the near future, and both the current and future positions can be broadcast to surrounding vehicles using vehicle-to-vehicle communication. For each vehicle, a set of states, for example position, speed, acceleration, and the like, where a collision is imminent can be identified using state information for a local vehicle, a remote vehicle, and a known collision zone for the intersection. If the current states of the vehicles are determined to be in danger of entering the collision zone, the ICA system can control the vehicles to perform evasive driving maneuvers and/or alert the drivers.
Method And System For Automatically Determining Lines Of Sight Between Nodes
Lorenzo Caminiti - Pasadena CA, US Luis Goncalves - Pasadena CA, US Enrico Di Bernardo - Pasadena CA, US Carter Moursund - San Diego CA, US
Assignee:
OMNILUX, INC.
International Classification:
H04B007/185 H04Q007/00
US Classification:
370/316000, 455/012100, 370/328000
Abstract:
The present invention uses data from several sources to determine lines-of-sight between nodes in a FSO network. The present invention provides a three-dimensional neighborhood modeling system that uses aerial image data, Digital Elevation Models, U.S. street map data and address data to automatically map the placement of nodes within a neighborhood or other geographical area. Method for creating the 3-Dimensional, House and Tree Maps used in the line-of-sight processing are also disclosed. A House Map in the present invention identifies houses in an area of consideration, and a Tree Map in the present invention identifies trees in an area of consideration. A 3-Dimensional Map in the present invention provides an elevation for every pixel for the area under consideration, whereby the elevation is adjusted for the height of trees, houses and other objects.
Lorenzo Caminiti - Ann Arbor MI, US Derek S. Caveney - Ann Arbor MI, US Kenneth P. Laberteaux - Ann Arbor MI, US
Assignee:
Toyota Engineering & Manufacturing North America, Inc. - Erlanger KY
International Classification:
G08G 1/00 G08G 1/095
US Classification:
340932, 340907
Abstract:
A traffic light warning system and method for an automotive vehicle. The system receives a signal from a traffic light representative of the geographical area, state and operation of the traffic light. The system then determines at least one time period in which the traffic light indicates a stop command. The position of the vehicle during that time period is then predicted as a function of the current traveling parameters of the vehicle and a warning signal is generated to the vehicle occupant whenever the predicted position of the vehicle is within the geographic area of the traffic light during the time period.
Communication Based Vehicle-Pedestrian Collision Warning System
Lorenzo Caminiti - Ann Arbor MI, US Jeffrey Clark Lovell - Midland MI, US James Joseph Richardson - Temecula CA, US
Assignee:
Toyota Motor Engineering & Manufacturing North America, Inc. - Erlanger KY Raytheon Company - Waltham MA
International Classification:
G08G 1/16
US Classification:
701301
Abstract:
A system and method for detecting a collision is provided. The system includes a system vehicle equipped with onboard equipment directed towards gathering vehicle information necessary to predict the path of the vehicle, a roadside infrastructure having a plurality of roadside sensors selectively distributed throughout the infrastructure so as to detect objects and gather information about the detected objects necessary to predict the path of the detected objects. A path predicting circuit is in communication with the system vehicle and the roadside infrastructure. The path predicting circuit processes information from the system vehicle and roadside infrastructure to predict the path of the system vehicle and detected objects. The path predicting circuit is in communication with a path collision circuit and the predicted paths are mapped on the path collision circuit so as to determine if the system vehicle may possibly collide with a detected object.