Neal A. Seegmiller - Fort Worth TX, US Stuart C. Street - Westworth Village TX, US
Assignee:
LOCKHEED MARTIN CORPORATION - Bethesda MD
International Classification:
H05B 1/00
US Classification:
219201
Abstract:
A pulsed induction heating system removes bonded elements from underlying substrates. A coil loop of a tool fits around the base of the element to be removed. The tool heats the element and the substrate in short pulses that are followed by brief, non-heated wait periods. The temperature of the substrate is measured during the wait periods between pulses to avoid overheating. When the substrate reaches a target temperature, the adhesive is sufficiently softened such that the element and adhesive are readily scraped off without damaging the substrate.
Methods And Systems For Asserting Right Of Way For Traversing An Intersection
- Pittsburgh PA, US Christopher Cunningham - Pittsburgh PA, US Neal Seegmiller - Pittsburgh PA, US
International Classification:
B60W 30/18 G05D 1/00 G05D 1/02
Abstract:
Systems and methods for controlling navigation of an autonomous vehicle for making an unprotected turn while traversing an intersection. The methods may include identifying a loiter pose of an autonomous vehicle for stopping at a point in an intersection before initiating an unprotected turn, initiating navigation of the autonomous vehicle to the loiter pose when a traffic signal is at a first state, determining whether the traffic signal has changed to a second state during or after navigation of the autonomous vehicle to the loiter pose, and in response to determining that the traffic signal has changed to the second state, generating a first trajectory for navigating the autonomous vehicle to execute the unprotected turn if the expected time for moving the autonomous vehicle from a current position to a position when the autonomous vehicle has fully exited an opposing conflict lane is less than a threshold time.
Methods And Systems For Monitoring Vehicle Motion With Driver Safety Alerts
- Pittsburgh PA, US David Breeden - Belmont CA, US Thomas Petroff - Gibsonia PA, US Christopher Cunningham - Pittsburgh PA, US Patrick Barone - San Francisco CA, US Arek Sredzki - San Mateo CA, US Neal Seegmiller - Pittsburgh PA, US Xi Cai - San Jose CA, US
Vehicle driver assistance and warning systems that alert a driver of a vehicle to wrong-way driving and/or imminent traffic control measures (TCMs) are disclosed. The system will identify a region of interest around the vehicle, access a vector map that includes the region of interest, and extract lane segment data associated with lane segments that are within the region of interest. The system will analyze the lane segment data and the vehicle's direction of travel to determine whether motion of the vehicle indicates that either: (a) the vehicle is traveling in a wrong-way direction for its lane; or (b) the vehicle is within a minimum stopping distance to an imminent TCM in its lane. When the system detects either condition, it will cause a driver warning system of the vehicle to output a driver alert.
System, Method, And Computer Program Product For Trajectory Scoring During An Autonomous Driving Operation Implemented With Constraint Independent Margins To Actors In The Roadway
- Pittsburgh PA, US Mark Ollis - Pittsburgh PA, US Christopher Cunningham - Pittsburgh PA, US Neal Andrew Seegmiller - Pittsburgh PA, US Patrick Stirling Barone - Pittsburgh PA, US
International Classification:
B60W 60/00 B60W 50/00
Abstract:
Provided are autonomous vehicles (AV), computer program products, and methods for maneuvering an AV in a roadway, including receiving forecast information associated with predicted trajectories of one or more actors in a roadway, determining a relevant trajectory of an actor based on correlating a forecast for predicted trajectories of the actor with the trajectory of the AV, regenerate a distance table for the relevant trajectory previously generated for processing constraints, generate a plurality of margins for the AV to evaluate, the margins based on a plurality of margin types for providing information about risks and effects on passenger comfort associated with a future proximity of the AV to the actor, classifying an interaction between the AV and the actor based on a plurality of margins, and generating continuous scores for each candidate trajectory that is also within the margin of the actor generated for the relevant trajectory.
Methods And Systems For Monitoring Vehicle Motion With Driver Safety Alerts
- Pittsburgh PA, US David Breeden - Belmont CA, US Thomas Petroff - Gibsonia PA, US Christopher Cunningham - Pittsburgh PA, US Patrick Barone - San Francisco CA, US Arek Sredzki - San Mateo CA, US Neal Seegmiller - Pittsburgh PA, US Xi Cai - San Jose CA, US
Methods, systems, and computer program products for navigating a vehicle are disclosed. The methods include extracting lane segment data associated with lane segments of a vector map that are within a region of interest, and analyzing the lane segment data and a heading of the vehicle to determine whether motion of the vehicle satisfies a condition. The condition can be associated with (i) an association between the heading of the vehicle and a direction of travel of a lane that corresponds to the current location of the vehicle and/or (ii) a minimum stopping distance to an imminent traffic control measure in the lane that corresponds to the current location of the vehicle. When the motion does not satisfy the condition, the methods include causing the vehicle to perform a motion correction.
Methods And Systems For Performing Inter-Trajectory Re-Linearization About An Evolving Reference Path For An Autonomous Vehicle
- Pittsburgh PA, US Alice Kassar - Detroit MI, US Ghassan Atmeh - Grosse Pointe Woods MI, US Neal Seegmiller - Pittsburgh PA, US Ramadev Burigsay Hukkeri - Pittsburgh PA, US
A system of linearizing a trajectory of an autonomous vehicle about a reference path includes a computing device and a computer-readable storage medium. The computer-readable storage medium includes one or more programming instructions that, when executed, cause the computing device to receive a reference path for an autonomous vehicle, where the reference path defines a proposed trajectory for the autonomous vehicle in a Cartesian reference frame, identify an objective based on the received reference path, where the objective comprises a longitudinal component and a lateral component, project the objective into a curvilinear coordinate frame described by the received reference path, decouple the longitudinal component and the lateral component, linearize the lateral component about the reference path, generate a new reference path for the autonomous vehicle by fusing the linearized longitudinal component and the linearized lateral component, and map the new reference path back to the Cartesian reference frame.
Method Of Handling Occlusions At Intersections In Operation Of Autonomous Vehicle
- Pittsburgh PA, US Neal Seegmiller - Pittsburgh PA, US Albert Costa - Pittsburgh PA, US Christopher Cunningham - Pittsburgh PA, US G. Peter K. Carr - Allison Park PA, US Sameer Bardapurkar - Pittsburgh PA, US
An autonomous vehicle navigates an intersection in which occlusions block the vehicle's ability to detect moving objects. The vehicle handles this by generating a phantom obstacle behind the occlusion. The vehicle will predict the speed of the phantom obstacle and use the predicted speed to assess whether the phantom obstacle may collide with the vehicle. If a collision is a risk, the vehicle will slow or stop until it confirms that either (a) the phantom obstacle is not a real obstacle or (b) the vehicle can proceed at a speed that avoids the collision. To determine which occlusions shield real objects, the system may use a rasterized visibility grid of the area to identify occlusions that may accommodate the object.
Edge-On Armor System With Translating And Rotating Armor Panels
- San Antonio TX, US Daniel J. Pomerening - San Antonio TX, US Kristopher C. Kozak - San Antonio TX, US Nicholas J. Mueschke - San Antonio TX, US Isaias S. Chocron - San Antonio TX, US Gregory N. Wattis - San Antonio TX, US Jesse A. Beavers - Boerne TX, US Oliver P. Harrison - San Antonio TX, US Stephan J. Lemmer - Belleville MI, US Neal A. Seegmiller - Pittsburgh PA, US
International Classification:
F41H 5/007 F41H 7/04
Abstract:
An armor system for protecting vehicles and other equipment against projectiles and similar threats. A track is mounted on the equipment, and an upper sled and lower sled are moveably attached to the track. An armor panel is pivotally attached to one sled and is pivotally attached with arms to the other sled. The two sleds are independently actuated along the track, such that their relative positions determine both the translational and rotational position of the armor panel. The armor panel can be quickly rotated from an undeployed position against the vehicle through a desired arc outward from the vehicle, which increases the edge-on or nearly edge-on presentation of the armor panel to the projectile.
Argo Ai
Motion Planning Technician Lead
Argo Ai
Senior Software Engineer
Southwest Research Institute Jan 2015 - Jun 2017
Research Engineer - Unmanned Systems
Carnegie Mellon University Jul 2009 - Dec 2014
Graduate Student Researcher - Robotics Institute
Lockheed Martin Jun 2007 - Jun 2009
Applications Engineer - Manufacturing Technology
Education:
Carnegie Mellon University 2009 - 2014
Doctorates, Doctor of Philosophy, Robotics, Philosophy
The University of Texas at Austin 2001 - 2007
Bachelors, Chinese Language and Literature, Chinese Language, Literature, Mechanical Engineering
Skills:
Robotics Mobile Robotics Matlab C++ Path Planning Dynamic Modeling Algorithms Model Predictive Control Ros Python Machine Learning Computer Vision Calibration Programming Git Latex Linux Inertial Navigation Localization Solidworks Technical Writing Optimization Algorithms Vehicle Dynamics
Languages:
English Mandarin
Googleplus
Neal Seegmiller
Education:
Carnegie Mellon University - Robotics, University of Texas at Austin - Mechanical Engineering, Chinese