Oct 2012 to 2000 Hem/Die SpecialistUntied States Marine Corps Camp Lejeune, NC May 2011 to Oct 2012 Special Projects ManagerUnited States Marine Corps Camp Lejeune, NC Aug 2010 to May 2011 Logistics & Office ManagerUnited States Marine Corps Norfolk, VA May 2007 to Aug 2010 Facilities/Supply Manager/Ammunition TechCamp Fuji Japan
Feb 2006 to May 2007 Supply Warehouse Technician, United States Marine Corps
Education:
Marine Corps Institute Quantico, VA Sep 2005 to Jul 2012 Leadership and Administration CourseLake Orion High School Lake Orion, MI Jun 2005
Name / Title
Company / Classification
Phones & Addresses
Daniel Reich Engineer
Current Energy Controls Motor Vehicles and Passenger Car Bodies
2096 N Kolb Rd Ste 100, Tucson, AZ 85712
Daniel Reich Corporate Secretary
Bullseye Creative Services Commercial Photography
2 San Marino Ct, San Rafael, CA 94901
Daniel Reich CEO
Reich Paper Printing and Writing Paper
7518 3Rd Ave, Brooklyn, NY 11209 Website: paper1.com
Daniel Reich Owner
Raytex Fabrics Sewing, Needlework, and Piece Goods Stores
130 Crossways Park Dr, Woodbury, NY 11797 Website: raytexindustries.com,
Daniel Reich Chief Operating Officer
Jana Partners LLC Unit Investment Trusts, Face-Amount Certifica...
200 Park Ave Rm 3300, New York, NY 10166
Daniel S. Reich Neuroradiology
National Institutes of Health Clinical Center
10 Ctr Dr, Bethesda, MD 20892 3014964114
Us Patents
Method And Apparatus For Classifying Seat Occupant Weight
A method and apparatus is provided that classifies a seat occupant into one of several different weight classes based on an estimated value of the seat occupant weight. An occupants measured weight varies when the occupants seating position changes or when the vehicle travels over adverse road conditions. The estimated value of the occupant weight is compared to a series of upper and lower weight thresholds assigned to each of the weight classes to generate an occupant weight sample class. Over a period of time, several estimated weight values are compared to the weight class thresholds. Once a predetermined number of consistent and consecutive occupant weight sample classes is achieved, the occupant is locked into a specific occupant weight class. When the weight class is locked, the separation value between the upper and lower thresholds is increased to account for minor weight variations due to adverse road conditions and changes in occupant position. The weight class is unlocked when a predetermined number of inconsistent classes is observed and the process is repeated.
Method Of Classifying Weight Information In A Vehicle Weight Classification System
Daniel Reich - Macomb MI Alanna Marie Quail - Oakland Township MI Emmanuel V. Garcia - Sterling Hts. MI
Assignee:
Siemens VDO Automotive Corporation - Auburn Hills MI
International Classification:
G06F 1500
US Classification:
702173, 702176, 701 45
Abstract:
A vehicle weight classification system includes a method of classifying weight information. A plurality of zones are defined and are associated with each of the weight classifications. In one example, the upper and lower limits of the zones overlap those of an adjacent zone. The upper and lower limits of the zones preferably also overlap the thresholds of the corresponding weight classifications. Whenever weight information exists within a zone, a value for that zone is increased. The zone having the highest value is determined to be the zone where the weight information should be classified. The weight information is then classified into the classification associated with the zone having the highest value.
Method And Apparatus For Measuring Seat Occupant Weight
Siemens VDO Automotive Corporation - Auburn Hills MI
International Classification:
B60R 2132
US Classification:
280735, 180273
Abstract:
A system for correcting seat occupant weight measurement error induced by a seat belt is used to control deployment of vehicle airbags. When a child seat is secured to a vehicle seat with a seat belt, the belt is pulled to a very tight position, which applies a greater force to the seat, erroneously raising the measured occupant weight. The subject system detects the difference between a child seat with a large seat belt force and a small adult, and modifies airbag deployment accordingly. The system includes a sensor assembly mounted within the seat bottom that measures a total seat occupant weight. A control unit generates a compensation factor based on the sensor assembly weight measurements and the mounting locations of the seat belt. The compensation factor is used to correct the total seat occupant weight, providing a modified occupant weight. Airbag deployment is controlled based on the modified occupant weight.
Harald Lichtinger - Auburn Hills MI Brian M. Curtis - Orion MI Robert Graf - Pichl/Gsies, IT Daniel Reich - Macomb MI Scott Morrell - White Lake Township MI Maria Kremer - Pfaffenhofen, DE
Assignee:
Siemens VDO Automotive Corporation - Auburn Hills MI
A method and apparatus is provided that classifies a seat occupant into one of several different weight classes based on an estimated value of the seat occupant weight. An occupants measured weight varies when the occupants seating position changes or when the vehicle travels over adverse road conditions. A plurality of weight sensors are used to measure the weight exerted by a seat occupant against a seat bottom and are used to determine center of gravity for the seat occupant. A seat belt force sensor is also used to assist in classifying the seat occupant. Compensation factors using the seat belt force and center of gravity information are used to generate an estimated weight value. The estimated value of the occupant weight is compared to a series of upper and lower weight thresholds assigned to each of the weight classes to generate an occupant weight sample class. Over a period of time, several estimated weight values are compared to the weight class thresholds. Once a predetermined number of consistent and consecutive occupant weight sample classes is achieved, the occupant is locked into a specific occupant weight class.
Signal Processing In A Vehicle Weight Classification System
Daniel Reich - Macomb MI Scott Morell - White Lake Township MI Horst Belau - Langquaid, DE Marten Swart - Obertraubling, DE Harald Lichtinger - Auburn Hills MI
Assignee:
Siemens VDO Automotive Corporation - Auburn Hills MI
A vehicle weight classification system recognizes the various factors that influence system performance. Some of the factors are compensated for using analog signal processing circuitry or techniques. Other factors are compensated for using digital signal processing techniques. The unique combination of analog and digital approaches, rather than pure analog or pure digital, provides an effective solution at addressing the various factors that influence signals and system performance in a vehicle weight classification system while keeping the cost and complexity of the system within acceptable limits.
Harald Lichtinger - Auburn Hills MI, US Brian M. Curtis - Orion MI, US Robert Graf - Pichl/Gsies, IT Daniel Reich - Macomb MI, US Scott Morrell - White Lake Township MI, US Maria Kremer - Pfaffenhofen, DE
Assignee:
Siemens VDO Automotive Corporation - Auburn Hills
International Classification:
B60R 21/15 G01G 19/08 G01L 5/10 G01L 1/04
US Classification:
180273, 177144, 7386239, 73 1, 280735
Abstract:
A method and apparatus is provided that classifies a seat occupant into one of several different weight classes based on an estimated value of the seat occupant weight. An occupant's measured weight varies when the occupant's seating position changes or when the vehicle travels over adverse road conditions. A plurality of weight sensors are used to measure the weight exerted by a seat occupant against a seat bottom and are used to determine center of gravity for the seat occupant. A seat belt force sensor is also used to assist in classifying the seat occupant. Compensation factors using the seat belt force and center of gravity information are used to generate an estimated weight value. The estimated value of the occupant weight is compared to a series of upper and lower weight thresholds assigned to each of the weight classes to generate an occupant weight sample class. Over a period of time, several estimated weight values are compared to the weight class thresholds. Once a predetermined number of consistent and consecutive occupant weight sample classes is achieved, the occupant is locked into a specific occupant weight class.
Sensor Assembly For Seat Occupant Weight Classification System
Harald Lichtinger - Auburn Hills MI, US Brian M. Curtis - Orion MI, US Robert Graf - Pichl/Gsies, IT Daniel Reich - Macomb MI, US Scott Morrell - White Lake Township MI, US Maria Kremer - Pfaffenhofen, DE
Assignee:
Continental Automotive Systems US, Inc. - Auburn Hills
International Classification:
B60R 21/015
US Classification:
180273, 177136, 177144, 280735, 73862391
Abstract:
A method and apparatus is provided that classifies a seat occupant into one of several different weight classes based on an estimated value of the seat occupant weight. An occupant's measured weight varies when the occupant's seating position changes or when the vehicle travels over adverse road conditions. A plurality of weight sensors are used to measure the weight exerted by a seat occupant against a seat bottom and are used to determine center of gravity for the seat occupant. A seat belt force sensor is also used to assist in classifying the seat occupant. Compensation factors using the seat belt force and center of gravity information are used to generate an estimated weight value. The estimated value of the occupant weight is compared to a series of upper and lower weight thresholds assigned to each of the weight classes to generate an occupant weight sample class. Over a period of time, several estimated weight values are compared to the weight class thresholds. Once a predetermined number of consistent and consecutive occupant weight sample classes is achieved, the occupant is locked into a specific occupant weight class.
Brian M. Curtis - Lake Orion MI Scott M. Morell - White Lake Township MI Daniel A. Reich - Macomb MI Michael Baker - Warren MI
Assignee:
Siemens VDO Automotive Corporation - Auburn Hills MI
International Classification:
B60R 2248
US Classification:
2808011, 280735, 297468, 73862474
Abstract:
A system for measuring seatbelt forces is used to control deployment of vehicle airbags. The system includes a seatbelt anchor assembly having a bracket mounted to a vehicle structure adjacent to a vehicle seat. A seatbelt mechanism has a belt portion that is looped through the bracket. The seatbelt is used to secure passengers or an infant car seat to the vehicle seat. A sensor is engaged with the anchor assembly and is used to measure the magnitude of forces exerted on the seatbelt by the passenger or car seat. The sensor generates a signal representative of the seatbelt forces, which is used to control deployment of the airbag.
Medicine Doctors
Dr. Daniel S Reich, Baltimore MD - MD (Doctor of Medicine)
National Institute Of Health 10 Center Dr Suite 10, Bethesda, MD 20892
The Johns Hopkins Hospital 1800 Orleans Street, Baltimore, MD 21287
Education:
Medical School J & S Weill M C Cornell Univ Graduated: 1998 Medical School Johns Hopkins Bayview Med Center Graduated: 2003 Medical School Johns Hopkins Hospital Graduated: 2005 Medical School Johns Hopkins Hospital Graduated: 2009
Daniel S Reich MD 801 N Tustin Ave STE 306, Santa Ana, CA 92705 7145434880 (phone), 7145434883 (fax)
Education:
Medical School Universidad Autu00F3noma de Guadalajara, Guadalajara, Jalisco, Mexico Graduated: 1973
Conditions:
Abnormal Vaginal Bleeding Breast Disorders Candidiasis of Vulva and Vagina Genital HPV Herpes Genitalis
Languages:
English Spanish
Description:
Dr. Reich graduated from the Universidad Autu00F3noma de Guadalajara, Guadalajara, Jalisco, Mexico in 1973. He works in Santa Ana, CA and specializes in Obstetrics & Gynecology. Dr. Reich is affiliated with Orange County Global Medical Center and St Joseph Hospital Of Orange.
National Institute Of Health 10 Ctr Dr, Bethesda, MD 20892 3104020373 (phone), 3104961801 (fax)
Education:
Medical School Cornell University Weill Medical College Graduated: 2002
Languages:
English
Description:
Dr. Reich graduated from the Cornell University Weill Medical College in 2002. He works in Bethesda, MD and specializes in Endovascular Surgical Neuroradiology (Neuro Surg).
Riverdale Gastroenterology & Liver DiseaseAdvanced Endoscopy Center 5500 Broadway STE A, Bronx, NY 10463 7185487900 (phone), 7184588900 (fax)
Education:
Medical School Albert Einstein College of Medicine at Yeshiva University Graduated: 2000
Languages:
English Spanish
Description:
Dr. Reich graduated from the Albert Einstein College of Medicine at Yeshiva University in 2000. He works in Bronx, NY and specializes in Gastroenterology.