← Search

Neal Seegmiller

1 accepted papers

2017

The Maverick planner: An efficient hierarchical planner for autonomous vehicles in unstructured environments

IROS 2017poster

Planning kinodynamically feasible trajectories for autonomous vehicles is computationally expensive, especially when planning over long distances in unstructured environments. This paper presents a hierarchical planner, called the Maverick planner, which can find such trajectories efficiently. It co…

Cited by 11SourceScholar