This work focuses on the occlusion problem in vehicle detection and proposes a novel method based on semantic component analysis and scale consideration ...
Jul 10, 2014 · In this work, we focus on the occlusion problem in vehicle detection and propose a novel method based on semantic component analysis and scale ...
ABSTRACT. Vehicle detection is a hot topic in traffic monitoring applica- tions. Though many researchers has done a lot work towards.
In this work, we focus on the occlusion problem in vehicle detection and propose a novel method based on semantic component analysis and scale consideration.
Nov 1, 2023 · This research article aims to provide an answer to this problem of monitoring and managing roadways and providing alternative solutions.
In this work, we focus on vehicle detection in aerial imagery, which provides information of large areas at once. Recently, detection frameworks based on ...
Dec 27, 2023 · The YOLO-based target detection algorithm detects fast and can realize end-to-end detection. The model has good robustness and generalization ...
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What is a vehicle detection?
This study designs a real-time lane segmentation method based on the encoding-decoding mechanism in low-light scenes, namely UET-STDC.
Vehicle detection frameworks under deep learning techniques can be divided into two types: object-detection-based models and segmentation-based models. Sensors ...
This work also presents a way of adapting the ERFNet semantic segmentation architecture for the purpose of taillight extraction, object detection and ...