A Fast Obstacle Detection Method by Fusion of Double-Layer Region Growing Algorithm and Grid-SECOND Detector

Li, Jiong; Qiu, Mianhao; Zhang, Yu; Xiong, Neal N.; Li, Zhixiong

doi:10.1109/access.2020.3047711

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…Currently, swarm intelligence and optimization algorithms have been widely concerned in various applications due to their efficient optimization performance [10][11][12]. They are successfully used in intelligent transportation, machine learning, process control, economic forecasting, and engineering optimization [13][14][15].…”

Section: Related Workmentioning

confidence: 99%

An Artificial Fish Swarm Scheme Based on Heterogeneous Pheromone for Emergency Evacuation in Social Networks

Zong

Wang

et al. 2022

Electronics

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A two-layer artificial fish swarm evacuation model based on heterogeneous pheromones is presented in this paper. Firstly, the movements of evacuees are simulated by the behaviors of an artificial fish swarm, including preying, swarming, and following. Then, the positive feedback mechanism of heterogeneous pheromones is introduced to improve evacuation performance. Based on the interaction and communication mechanisms of biological groups of social networks in nature, the perceptual and cooperative model among individuals and between individuals and the environment is established. An optimization scheme based on fish swarms and heterogeneous pheromones is proposed. The simulation and experimental results show that the two-layer evacuation model can optimize the spatial-temporal distribution of people and can finally achieve better evacuation plans. The proposed model and algorithm can provide effective guidance for emergency safety responses and robot cooperative control in intelligent robot systems.

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Section: Related Workmentioning

confidence: 99%

An Artificial Fish Swarm Scheme Based on Heterogeneous Pheromone for Emergency Evacuation in Social Networks

Zong

Wang

et al. 2022

Electronics

Self Cite

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A Novel Obstacle Detection Method in Underground Mines Based on 3D LiDAR

Peng,

Pan,

Zhao

et al. 2024

IEEE Access

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Text Classification Model Based on Graph Attention Networks and Adversarial Training

Li,

Jian,

Xiong

2024

Applied Sciences

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Text information on the internet often has a strong sense of immediacy, constantly reflecting societal dynamics and evolving events. This is especially crucial in the field of news text, where the classification and analysis of these immediate and varied text data become essential. Existing text classification models frequently struggle to effectively represent the semantic and local feature information of texts, limiting their effectiveness. The primary challenge lies in improving the representation of both semantic and local feature information in text classification models, which is critical for capturing the nuanced meanings in rapidly evolving news texts. This paper proposes a deep learning-driven framework designed to enhance the effectiveness of text classification models. The method incorporates noise perturbation during training for adversarial training, thereby enhancing the model’s generalization ability on original samples and increasing its robustness. A graph attention network is employed to extract the contextual semantic information of vocabulary from sequential texts. This information is then combined with extracted sentence feature information to enrich the feature representation of the sequence. An attention mechanism is also introduced to extract more critical feature information from the text, thereby deepening the understanding of textual semantic information. Experimental results demonstrate that this method successfully integrates the boundary and semantic information of vocabulary into the classification task. The approach comprehensively and deeply mines the semantic features of the text, leading to improved classification performance.

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A Fast Obstacle Detection Method by Fusion of Double-Layer Region Growing Algorithm and Grid-SECOND Detector

Cited by 3 publications

References 14 publications

An Artificial Fish Swarm Scheme Based on Heterogeneous Pheromone for Emergency Evacuation in Social Networks

An Artificial Fish Swarm Scheme Based on Heterogeneous Pheromone for Emergency Evacuation in Social Networks

A Novel Obstacle Detection Method in Underground Mines Based on 3D LiDAR

Text Classification Model Based on Graph Attention Networks and Adversarial Training

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