Sean Scheideman

2 accepted papers

2020

A Flexible Method for Performance Evaluation of Robot Localization

Sean Scheideman, Nilanjan Ray, Hong Zhang

ICRA 2020poster

An important research issue in mobile robotics is performance assessment of robot SLAM algorithms in terms of their localization accuracy. Typically, SLAM algorithms are evaluated with the help of benchmark datasets or expensive equipment such as motion capture. Benchmark datasets however, are envir…

Cited by 4 Source ↗Scholar ↗

2019

Perception as prediction using general value functions in autonomous driving applications

Daniel Graves, Kasra Rezaee, Sean Scheideman

IROS 2019poster

We propose and demonstrate a framework called perception as prediction for autonomous driving that uses general value functions (GVFs) to learn predictions. Perception as prediction learns data-driven predictions relating to the impact of actions on the agent's perception of the world. It also provi…

Cited by 16 Source ↗Scholar ↗