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David M Ilstrup

from San Francisco, CA
Age ~61
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Also known as:
David Marshall Ilstrup, David N Ilstrup, Dave M Ilstrup, David Ilstup, David P
Related to:
Greg M Ilstrup, 58Donna C Ilstrup, 59Jean Ilstrup, 85Marshall Ilstrup, 88
Connected to:
Melanie M Ilten, 47Claudia Iluc, 53Paul T Ilunga, 60Edward Ilyaich, 48Dmitriy A Ilyin, 51Aaron C Im, 33Bill Y Im, 64Charlie K Im, 34Debbie Im, 56Dennis Im, 42

David Ilstrup Phones & Addresses

  • San Francisco, CA
  • 153 Peach Ter, Santa Cruz, CA 95060 (831) 421-0105
  • 8385 Glen Arbor Rd, Ben Lomond, CA 95005 (831) 336-9428
  • 394 Ilo Ln, Danville, CA 94526
  • El Cerrito, CA
  • Berkeley, CA
  • Oakland, CA

Resumes

Resumes

David Ilstrup Photo 1

Senior Researcher

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Location:
153 Peach Ter, Santa Cruz, CA 95060
Industry:
Computer Software
Work:
Nissan Research Center Silicon Valley
Senior Researcher
Honda Research Institute Usa, Inc. Jun 2011 - Aug 2016
Senior Scientist
Uc Santa Cruz 2006 - 2011
Phd Candidate
Education:
University of California, Santa Cruz 2006 - 2011
Master of Science, Doctorates, Masters, Doctor of Philosophy, Computer Science University of California, Berkeley 1981 - 1987
University of California
Skills:
Artificial Intelligence
C
Algorithms
Signal Processing
Computer Science
Machine Learning
Computer Vision
Matlab
Simulations
Python
C++
Latex
Pattern Recognition
Image Processing
Opencv
Interests:
Civil Rights and Social Action
Education
Arts and Culture
Environment
Languages:
English
David Ilstrup Photo 2

David Ilstrup

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Location:
San Francisco, CA
Industry:
Computer Software
Education:
University of California, Santa Cruz 2006 - 2012
University of California
David Ilstrup Photo 3

Student At University Of California, Santa Cruz

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Location:
San Francisco Bay Area
Industry:
Computer Software
Education:
University of California, Santa Cruz 2006 - 2012

Publications

Us Patents

Road User Categorization Through Monitoring

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US Patent:
20220379923, Dec 1, 2022
Filed:
May 26, 2021
Appl. No.:
17/331176
Inventors:
- Franklin TN, US
Christopher Ostafew - Mountain View CA, US
David Ilstrup - Santa Cruz CA, US
International Classification:
B60W 60/00
G08G 1/01
G05D 1/02
Abstract:
Categorizing driving behaviors of other road users includes maintaining a first history of first lateral-offset values of a road user with respect to a center line of a lane of a road; determining a first pattern based on the first history of the first lateral-offset values; determining a driving behavior of the road user based on the first pattern; and autonomously performing, by a host vehicle, a driving maneuver based on the driving behavior of the road user. The first history can be maintained for a predetermined period of time. An apparatus includes a processor that is configured to track a trajectory history of a road user; determine, based on the trajectory history, a driving behavior of the road user; and transmit a notification of the driving behavior.

Route Planner And Decision-Making For Exploration Of New Roads To Improve Map

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US Patent:
20220306156, Sep 29, 2022
Filed:
Mar 29, 2021
Appl. No.:
17/215887
Inventors:
- Franklin TN, US
David Ilstrup - Santa Cruz CA, US
Atsuhide Kobashi - Sunnyvale CA, US
International Classification:
B60W 60/00
G01C 21/00
G01C 21/36
G06K 9/00
G06N 7/00
Abstract:
Route planning in automated driving of an autonomous vehicle includes obtaining an indication that a standard definition map is to be used in addition to a high definition map for obtaining a route; obtaining the route for automatically driving a vehicle to a destination, where the route includes a road of the standard definition map; obtaining a policy from a safety decision component, where the policy provides actions for states the road, and the actions constrain a trajectory of the autonomous vehicle along the road; receiving the actions from the safety decision component; and autonomously traversing the road according to the actions.

Navigation Map Learning For Intelligent Hybrid-Electric Vehicle Planning

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US Patent:
20220196418, Jun 23, 2022
Filed:
Dec 22, 2020
Appl. No.:
17/130490
Inventors:
- Franklin TN, US
David Ilstrup - Santa Cruz CA, US
Liam Pedersen - San Francisco CA, US
Richard Lui - Sunnyvale CA, US
Christopher Ostafew - Mountain View CA, US
International Classification:
G01C 21/34
G01S 19/42
G01C 21/00
B60W 20/14
B60W 40/08
B60W 10/06
Abstract:
Activating an engine of a HEV to charge a battery includes obtaining a first GPS trace from a first trip of the HEV along a first route, where the first GPS trace includes first trace metadata; obtaining a second GPS trace from a second trip, where the second GPS trace includes second trace metadata; adding, to a navigation map, an aggregation of the first trace metadata and the second trace metadata for edges of the navigation map; using the navigation map to obtain an activation action of the engine, where the activation action is selected from a set that includes a first activation action of turning the engine on and a second activation action of turning the engine off; and activating the engine according to the activation action, where activating the engine using the first activation action causes the engine to turn on to charge the battery of the HEV.

Safety-Assured Remote Driving For Autonomous Vehicles

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US Patent:
20210148726, May 20, 2021
Filed:
Nov 14, 2019
Appl. No.:
16/683685
Inventors:
- Franklin TN, US
- Boulogne-Billancourt, FR
Atsuhide Kobashi - Sunnyvale CA, US
David Ilstrup - Santa Cruz CA, US
Qizhan Tam - Santa Clara CA, US
International Classification:
G01C 21/36
G05D 1/00
Abstract:
An apparatus for traveling through a transportation network performs a method including generating a display that includes a geographical area about a starting location for route assistance through the transportation network and a virtual vehicle at the starting location, and forming a virtual path for the route assistance using the virtual vehicle. The virtual path includes a first portion obtained from advancing the virtual vehicle from the starting location while an autonomous vehicle (AV) is at the starting location and a second portion obtained from, after the virtual vehicle departs from the starting location, extrapolating from the virtual vehicle through the geographical area to a stopping location or an ending location of the route assistance. Points along the virtual path are continually transmitted to a trajectory planner of the AV while the virtual vehicle advances through the geographical area, and the trajectory planner generates a route for the AV conforming to the virtual path.
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David M Ilstrup from San Francisco, CA, age ~61 Get Report