Jeffrey Kane Johnson

Orcid: 0000-0002-9804-7434

Affiliations:
  • Maeve Automation, Pittsburgh, PA, USA
  • Indiana University Bloomington, School of Informatics and Computing, USA (former)


According to our database1, Jeffrey Kane Johnson authored at least 11 papers between 2012 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2020
The Colliding Reciprocal Dance Problem: A Mitigation Strategy with Application to Automotive Active Safety Systems.
Proceedings of the 2020 American Control Conference, 2020

Safe Motion Planning under Partial Observability with an Optimal Deterministic Planner.
Proceedings of the 2020 American Control Conference, 2020

2018
On the relationship between dynamics and complexity in multi-agent collision avoidance.
Auton. Robots, 2018

Visual Servoing for Mobile Ground Navigation.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

2017
Image Space Potential Fields: Constant Size Environment Representation for Vision-based Subsumption Control Architectures.
CoRR, 2017

Constant Space Complexity Environment Representation for Vision-based Navigation.
CoRR, 2017

2016
A Novel Relationship Between Dynamics and Complexity in Multi-agent Collision Avoidance.
Proceedings of the Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18, 2016

2014
Identifying support surfaces of climbable structures from 3D point clouds.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013
Optimal longitudinal control planning with moving obstacles.
Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

2012
Minimizing driver interference under a probablistic safety constraint in emergency collision avoidance systems.
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

Optimal acceleration-bounded trajectory planning in dynamic environments along a specified path.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012


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