• Skip to primary navigation
  • Skip to main content
SRI logo
  • About
    • Press room
    • Our history
  • Expertise
    • Advanced imaging systems
    • Artificial intelligence
    • Biomedical R&D services
    • Biomedical sciences
    • Computer vision
    • Cyber & formal methods
    • Education and learning
    • Innovation strategy and policy
    • National security
    • Ocean & space
    • Quantum
    • Robotics, sensors & devices
    • Speech & natural language
    • Video test & measurement
  • Ventures
  • NSIC
  • Careers
  • Contact
  • 日本支社
Search
Close
Bios September 8, 2021

Han-Pang Chiu

Technical Director, Center for Vision Technologies, Vision and Robotics Laboratory

Han-Pang Chiu, Ph.D., Technical Director of the Scene Understanding and Navigation (SUN) Group at SRI International, leads government and commercial projects to develop innovative solutions for real-world applications to multi-sensor navigation, multi-modal target detection/classification, robotic autonomy, and mobile augmented reality.

Han-Pang has been chief scientist and technical lead in many DARPA, ONR, and US Army research programs. He has been a pioneer in factor graph formulation for multi-sensor navigation. The paper “Stable Vision-Aided Navigation for Large-Area Augmented Reality” co-authored and presented by him received the best paper award in the IEEE Virtual Reality 2011 conference. His work also supports a few spin-off companies from SRI. Recently, he has also been leading SRI’s efforts in semantic navigation, which develops new deep learning techniques to derive and utilize high-level semantic scene information for robotic autonomy.

Prior to joining SRI, Han-Pang was a postdoctoral researcher in Computer Science and Artificial Intelligence Laboratory (CSAIL) at Massachusetts Institute of Technology (MIT), where he worked on a DARPA-funded project to develop computer vision techniques for robot grasping. He received his Ph.D. in Computer Science from MIT in 2009, and holds an MBA degree in management information systems from National Taiwan University.

Recent publications

more +
  • C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation

    We propose C-SFDA, a curriculum learning aided self-training framework for SFDA that adapts efficiently and reliably to changes across domains based on selective pseudo-labeling. Specifically, we employ a curriculum learning scheme to promote learning from a restricted amount of pseudo labels selected based on their reliabilities.

  • Night-Time GPS-Denied Navigation and Situational Understanding Using Vision-Enhanced Low-Light Imager

    In this presentation, we describe and demonstrate a novel vision-enhanced low-light imager system to provide GPS-denied navigation and ML-based visual scene understanding capabilities for both day and night operations.

  • Vision based Navigation using Cross-View Geo-registration for Outdoor Augmented Reality and Navigation Applications

    In this work, we present a new vision-based cross-view geo-localization solution matching camera images to a 2D satellite/ overhead reference image database. We present solutions for both coarse search for cold start and fine alignment for continuous refinement.

  • Cross-View Visual Geo-Localization for Outdoor Augmented Reality

    We address the problem of geo-pose estimation by cross-view matching of query ground images to a geo-referenced aerial satellite image database. Recently, neural network-based methods have shown state-of-the-art performance in cross-view matching.

  • Autonomous Docking Using Learning-Based Scene Segmentation in Underground Mine Environments

    This paper describes a vision-based autonomous docking solution that moves a coalmine shuttle car to the continuous miner in GPS-denied underground environments.

  • Ranging-Aided Ground Robot Navigation Using UWB Nodes at Unknown Locations

    This paper describes a new ranging-aided navigation approach that does not require the locations of ranging radios.

Career call to action image

Work with us

Search jobs

How can we help?

Once you hit send…

We’ll match your inquiry to the person who can best help you.

Expect a response within 48 hours.

Our work

Case studies

Publications

Timeline of innovation

Areas of expertise

Institute

Leadership

Press room

Media inquiries

Compliance

Careers

Job listings

Contact

SRI Ventures

Our locations

Headquarters

333 Ravenswood Ave
Menlo Park, CA 94025 USA

+1 (650) 859-2000

Subscribe to our newsletter


日本支社
SRI International
  • Contact us
  • Privacy Policy
  • Cookies
  • DMCA
  • Copyright © 2023 SRI International
Manage Cookie Consent
To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.
Functional Always active
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.
Manage options Manage services Manage {vendor_count} vendors Read more about these purposes
View preferences
{title} {title} {title}