DSPU: An Efficient Deep Learning-Based Dense RGB-D Data Acquisition With Sensor Fusion and 3-D Perception SoC
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Solid-State Circuits"
DOI: 10.1109/jssc.2022.3218278
Abstract: 3-D red, green, blue, and depth (RGB-D) and 3-D perception are essential information for 3-D applications such as autonomous driving and augmented reality (AR)/virtual reality (VR) systems. However, battery- and resource-limited mobile devices face difficulties… read more here.
Keywords: processing; dense rgb; rgb; rgb data ... See more keywords
Gated-Residual Block for Semantic Segmentation Using RGB-D Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3107672
Abstract: Semantic segmentation is an important technique for scene understanding in the intelligent transportation system. RGB-D data shows great advantages over the unimodal data in this area, and it can be easily obtained from consumer sensors… read more here.
Keywords: residual block; rgb data; gated residual; semantic segmentation ... See more keywords