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John Ware

4 accepted papers

2020

Semantic Trajectory Planning for Long-Distant Unmanned Aerial Vehicle Navigation in Urban Environments

IROS 2020poster

There has been a considerable amount of recent work on high-speed micro-aerial vehicle flight in unknown and unstructured environments. Generally these approaches either use active sensing or fly slowly enough to ensure a safe braking distance with the relatively short sensing range of passive senso…

Cited by 14SourceScholar
2019

Efficient Trajectory Planning for High Speed Flight in Unknown Environments

ICRA 2019poster

There has been considerable recent work in motion planning for UAVs to enable aggressive, highly dynamic flight in known environments with motion capture systems. However, these existing planners have not been shown to enable the same kind of flight in unknown, outdoor environments. In this paper we…

Cited by 84SourceScholar
2019

Real-Time Planning with Multi-Fidelity Models for Agile Flights in Unknown Environments

ICRA 2019poster

Autonomous navigation through unknown environments is a challenging task that entails real-time localization, perception, planning, and control. UAVs with this capability have begun to emerge in the literature with advances in lightweight sensing and computing. Although the planning methodologies va…

Cited by 50SourceScholar