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Job Number: P25INT-39
Honda Research Institute USA (HRI-US) is seeking a research-focused engineer knowledgeable in semantic segmentation and mapping techniques for remote-sensing applications. This role will support current projects focused on using drones to generate navigation maps and identifying goal positions for UGVs.
Mountain View, CA
Key Responsibilities
Develop a semantic segmentation model for aerial images from a birds-eye-view perspective.
Explore novel approaches for handling unwanted segmentations via segmentation manipulation.
Write a research paper on the work conducted to be published at a major robotics conference.
Weekly meetings to discuss updates/ideas for the work being conducted.
Minimum Qualifications
PhD candidate or postdoc in CS, CE, ME, or similar disciplines.
Comfortable in Python and/or C++ programming languages.
Must have experience with training semantic segmentation models for remote sensing applications.
Basic computer software: Microsoft word, Excel, PowerPoint, etc.
Bonus Qualifications
Published a paper in the field of remote-sensing at a major robotics conference.
Knowledgeable in segmentation manipulation on high-resolution images.
Experience with using real-world drone data for semantic segmentation.
Experience with generating orthophotos using real-world drone images.