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Maneekwan Toyungyernsub

2 accepted papers

2022

Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments

IROS 2022poster

Detection and segmentation of moving obstacles, along with prediction of the future occupancy states of the local environment, are essential for autonomous vehicles to proactively make safe and informed decisions. In this paper, we propose a framework that integrates the two capabilities together us…

Cited by 18SourceScholar
2021

Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments

ICRA 2021poster

Predicting the future occupancy state of an environment is important to enable informed decisions for autonomous vehicles. Common challenges in occupancy prediction include vanishing dynamic objects and blurred predictions, especially for long prediction horizons. In this work, we propose a double-p…

Cited by 26SourcecodeScholar