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Peter Ondrúška

2 accepted papers

2018

Visual Vehicle Tracking Through Noise and Occlusions Using Crowd-Sourced Maps

IROS 2018poster

We present a location-specific method to visually track the positions of observed vehicles based on large-scale crowd-sourced maps. We equipped a large fleet of cars that drive around cities with camera phones mounted on the dashboard, and performed city-scale structure-from-motion to accurately rec…

Cited by 2SourceScholar
2015

Scheduled perception for energy-efficient path following

ICRA 2015poster

This paper explores the idea of reducing a robot's energy consumption while following a trajectory by turning off the main localisation subsystem and switching to a lower-powered, less accurate odometry source at appropriate times. This applies to scenarios where the robot is permitted to deviate fr…

Cited by 40SourceScholar