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Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08119-6
Abstract: In this paper, we propose a novel deep convolutional network for object detection named densely convolutional and feature fused object detector(DCFF-Net), which is a one-stage object detector from scratch similarly to DSOD. The base network…
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Keywords:
densely convolutional;
feature;
object detector;
convolutional feature ... See more keywords
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Published in 2021 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2020.3021640
Abstract: Intelligent traffic systems for railway object detection have become the focus of research in recent years. Accurate and fast object detection using a camera is an important but challenging problem in the railway industry. In…
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Keywords:
object detection;
railway;
object detector;
application lightweight ... See more keywords
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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3219469
Abstract: Accurate 3-D object detection with LiDAR is critical for autonomous driving. All existing research studies were based on the flat-world assumption. However, the actual road can be complex with steep sections, which breaks the premise.…
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Keywords:
terrain robustness;
ground aware;
object detector;
terrain ... See more keywords
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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.3040594
Abstract: Traffic congestion is a significant issue in urban areas and can cause adverse effects. In this paper, our proposal categorizes the traffic activity from video through three steps: vehicle monitoring, feature extraction, and classification. The…
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Keywords:
neural network;
object detector;
classification;
convolutional neural ... See more keywords