Jeffrey Kane Johnson

Personal web site

About

I work to develop safety-verifiable, vision-based methods for autonomous robotic collision avoidance. In general my research interests revolve around perception-based motion planning and control for use in multi-agent systems.

Contact

Projects & Contributions

Education

PhD in Computer Science, 2012—2017: School of Informatics, Computing, and Engineering
Indiana University, Bloomington, Indiana
IU Computer Vision Lab
MSc in Computer Science, 2009—2012: School of Informatics, Computing, and Engineering
Indiana University, Bloomington, Indiana
BSc in Computer Science, 1999—2003: Trine University, Angola, Indiana

Professional

Mapless AI, Inc., March. 2020—Current: Co-founder
- Remote vehicle operation with autonomous active safety.
Maeve Automation, Feb. 2019: Research Project
- Advanced, autonomy-based vehicle driver assistance systems
Uber ATG, Jan. 2018—Feb. 2019: Senior Autonomy Engineer
- Motion planning for urban automated vehicles
Apple, Inc., Jan. 2016—May 2017: Engineer
- Experimental algorithm and software development for autonomous systems
Robert Bosch, LLC, Jan. 2014—Nov. 2015: Research Engineer
- Lead development of motion planning/decision making for automated driving
Robert Bosch, LLC, May 2013—Aug. 2013: Intern
- Collision detection methods for optimization-based vehicle motion planning
TRACLabs, June 2012—Aug. 2012: Intern
- Software toolkits for coordinated dual-arm manipulation
Indiana University, Sept. 2006—Sept. 2009: Web Developer, School of Journalism
- Development of school web site and internal web-based applications
Software Developer, March 2004—Sept. 2006: Independent
- Software development for small to mid-sized clients

Affiliations

American Control Conference - ACC2020: Session Chair
IEEE Intelligent Vehicles Symposium - IV2020: Associate Editor
Workshop on Ensuring and Validating Safety for Automated Vehicles - IV2020: Co-proposer
UL 4600 Standard for Safety for the Evaluation of Autonomous Vehicle and Other Products: Stakeholder
IEEE ITSS Technical Committee on Self Driving Automobiles: Member
- Co-chair Cooperative Interacting Vehicle Workshop in IEEE Intelligent Vehicles Symposium - IV2019

Publications

Re: Advance Notice of Proposed Rulemaking on Framework for Automated Driving System Safety: National Highway Traffic Safety Administration, Proposed Rule: Framework for Automated Driving System Safety
Docket No. NHTSA-2020-0106
Jeffrey Kane Johnson, Philipp Robbel
(Comment ID: NHTSA-2020-0106-0016)
The Colliding Reciprocal Dance Problem: A Mitigation Strategy with Application to Automotive Active Safety Systems: American Control Conference (ACC) 2020
Jeffrey Kane Johnson
(pdf) (bib) (slides) (presentation)
Safe Motion Planning under Partial Observability with an Optimal Deterministic Planner: American Control Conference (ACC) 2020
Jeffrey Kane Johnson
(pdf) (bib) (slides) (presentation)
Visual Servoing for Mobile Ground Navigation: IEEE Connected and Automated Vehicles Symposium (CAVS) 2018
Jeffrey Kane Johnson
(pdf) (poster) (bib)
On the Relationship Between Dynamics and Complexity in Multi-agent Collision Avoidance: Autonomous Robots (AURO)
Jeffrey Kane Johnson
(pre-print pdf) (published version) (bib)
Guest talk: Vision-based Navigation for Autonomous Vehicles: Intelligent & Interactive Systems Talk Series
Jeffrey Kane Johnson
(Video) (Slides)
Image Space Potential Fields: Constant Size Environment Representation for Vision-based Subsumption Control Architectures: Maeve Automation Technical Report 1
Jeffrey Kane Johnson
(pdf) (bib)
Encroachment Detection with Monocular Vision for Small, Low-cost, Compute-constrained Platforms: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2017
Abstract Only
Jeffrey Kane Johnson
(pdf) (poster) (bibtex)
Selective Determinism for Autonomous Navigation in Multi-agent Systems: Ph.D. Dissertation
Jeffrey Kane Johnson
(pdf) (bibtex) (slides)
Constant Space Complexity Environment Representation for Vision-based Navigation: IROS 2017 9th Workshop on Planning, Perception and Navigation for Intelligent Vehicles
Jeffrey Kane Johnson
(pdf) (poster) (slides) (bibtex)
A Novel Relationship Between Dynamics and Complexity in Multi-agent Collision Avoidance: Robotics: Science and Systems (RSS) 2016
Jeffrey Kane Johnson
(pdf) (slides) (poster) (bibtex)
Identifying Support Surfaces of Climbable Structures from 3D Point Clouds: IEEE International Conference on Robotics and Automation (ICRA) 2014
Anna Eilering, Victor Yap, Jeff Johnson, Kris Hauser
(pdf) (bibtex)
Optimal Longitudinal Control Planning with Moving Obstacles: IEEE Intelligent Vehicles Symposium (IV) 2013
Jeff Johnson, Kris Hauser
(pdf) (web) (slides) (bibtex)
Optimal Longitudinal Control Planning with Moving Obstacles: ICRA 2013 Workshop: Vehicle Autonomy in Urban Transportation Systems
Jeff Johnson, Kris Hauser
(pdf) (bibtex)
Minimizing Driver Interference Under a Probabilistic Safety Constraint in Emergency Collision Avoidance Systems: IEEE Intelligent Transportation Systems Conference (ITSC) 2012
Jeff Johnson, Yajia Zhang, Kris Hauser
(pdf) (slides) (bibtex)
Optimal Acceleration-Bounded Trajectory Planning in Dynamic Environments Along a Specified Path: IEEE International Conference on Robotics and Automation (ICRA) 2012
Jeff Johnson, Kris Hauser
(pdf) (slides) (bibtex)
Semiautonomous Longitudinal Collision Avoidance Using a Probabilistic Decision Threshold: IROS 2011 International workshop on Perception and Navigation for Autonomous Vehicles in Human Environment
Jeff Johnson, Yajia Zhang, Kris Hauser
(pdf) (bibtex)