Sharath Chandra Akkaladevi — accepted AI-conference papers

2018

Towards a Context Enhanced Framework for Multi Object Tracking in Human Robot Collaboration

Sharath Chandra Akkaladevi, Matthias Plasch, Christian Eitzinger, Andreas Pichler, Bernhard Rinner

IROS 2018poster

In a goal-oriented Human Robot Collaborative (HRC) scenario, where the goal is to complete an assembly process, a robust object tracker might not necessarily fulfill its functional role due to the dynamic nature of HRC. Moreover, for an efficient HRC, the functional role of the object tacker should…

Cited by 11 Source ↗Scholar ↗

2016

Tracking multiple rigid symmetric and non-symmetric objects in real-time using depth data

Sharath Chandra Akkaladevi, Martin Ankerl, Christoph Heindl, Andreas Pichler

ICRA 2016

In this paper, a robust, real-time object tracking approach capable of dealing with multiple symmetric and non-symmetric objects in a real-time requirement setting is proposed. The approach relies only on depth data to track multiple objects in a dynamic environment and uses random-forest based lear

Cited by 28 Source ↗Scholar ↗