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Paramsothy Jayakumar

2 accepted papers

2023

Convolutional Bayesian Kernel Inference for 3D Semantic Mapping

ICRA 2023poster

Robotic perception is currently at a cross-roads between modern methods, which operate in an efficient latent space, and classical methods, which are mathematically founded and provide interpretable, trustworthy results. In this paper, we introduce a Convolutional Bayesian Kernel Inference (Con-vBKI…

Cited by 15SourcecodeScholar
2022

MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic Environments

RA-L 2022

This work addresses a gap in semantic scene completion (SSC) data by creating a novel outdoor data set with accurate and complete dynamic scenes. Our data set is formed from randomly sampled views of the world at each time step, which supervises generalizability to complete scenes without occlusions

Cited by 1SourcecodeScholar