Uber
Senior Autonomy Engineer and Technician Lead
Uber
Software Engineer
The Princeton Review Jun 2009 - Dec 2011
Teacher and Tutor
My Powermap Sep 2010 - Aug 2011
Student Researcher
University of Maryland May 2010 - Aug 2010
Student Researcher
Education:
Cornell University 2012 - 2017
Doctorates, Doctor of Philosophy, Robotics, Philosophy
Cornell University 2012 - 2015
Masters, Robotics
Rutgers University 2008 - 2012
Bachelors, Electronics, Engineering, Communications
Skills:
Matlab Research Probability Theory Control Systems Design Programming Slam Computer Vision C++ State Estimation Perception Control Theory Simulations Microsoft Office Machine Learning Leadership Lecturing Teaching Leader Signal Processing Circuit Analysis Robotics Opencv
Interests:
Human Rights Animal Welfare Education Science and Technology
- San Francisco CA, US Robert Zlot - Pittsburgh PA, US Peter Hansen - Pittsburgh PA, US Jennifer Joyce Padgett - Pittsburgh PA, US
International Classification:
G01C 21/32 G06T 17/05 G06T 7/73
Abstract:
A georeferenced trajectory estimation system for vehicles receives trajectory data generated by a plurality of vehicle sensors and fixed reference points of previously generated maps and aligns geometry data for a geographic region and trajectory data from the received data from different map builds. The trajectory data from respective map builds is aligned with fixed reference points of previously generated maps to generate a map of the geographic region. The received map data may include submap or spatially indexed data that is used to provide estimates of where a vehicle in an unmapped area is located by generating a series of pose estimates relating back to a fixed reference point in a previously mapped area. The resulting map expands the coverage of the existing map such that old and new map data is in a common consistent reference frame whereby the map may be built incrementally while ensuring global consistency.