Self-Tuning Method for Increased Obstacle Detection Reliability Based on Internet of Things LiDAR Sensor Models
出版年份 2018 全文链接
标题
Self-Tuning Method for Increased Obstacle Detection Reliability Based on Internet of Things LiDAR Sensor Models
作者
关键词
-
出版物
SENSORS
Volume 18, Issue 5, Pages 1508
出版商
MDPI AG
发表日期
2018-05-11
DOI
10.3390/s18051508
参考文献
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- (2018) Liang Xiao et al. INFORMATION SCIENCES
- A novel k NN algorithm with data-driven k parameter computation
- (2018) Shichao Zhang et al. PATTERN RECOGNITION LETTERS
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- (2018) Bing Shi et al. PATTERN RECOGNITION LETTERS
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- (2018) Jonatan Redondo et al. SENSORS
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- (2018) Michele Chincoli et al. SENSORS
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- (2018) Yadan Zeng et al. SENSORS
- Consensus-Based Cooperative Control Based on Pollution Sensing and Traffic Information for Urban Traffic Networks
- (2017) et al. SENSORS
- A Low Cost Sensors Approach for Accurate Vehicle Localization and Autonomous Driving Application
- (2017) Rafael Vivacqua et al. SENSORS
- Obstacle Detection as a Safety Alert in Augmented Reality Models by the Use of Deep Learning Techniques
- (2017) Dawid Połap et al. SENSORS
- Obstacle Recognition Based on Machine Learning for On-Chip LiDAR Sensors in a Cyber-Physical System
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- Network-Based Fuzzy Control for Nonlinear Industrial Processes With Predictive Compensation Strategy
- (2017) Tong Wang et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Accuracy assessment of ultra-wide band technology in locating dynamic resources in indoor scenarios
- (2016) Reza Maalek et al. AUTOMATION IN CONSTRUCTION
- Decentralized fuzzy H ∞ filtering for networked interconnected systems under communication constraints
- (2016) Engang Tian et al. NEUROCOMPUTING
- Artificial cognitive control with self-x capabilities: A case study of a micro-manufacturing process
- (2015) Rodolfo E. Haber et al. COMPUTERS IN INDUSTRY
- Spatial data analysis of mineral deposit point patterns: Applications to exploration targeting
- (2015) Vladimir Lisitsin ORE GEOLOGY REVIEWS
- Hybrid Incremental Modeling Based on Least Squares and Fuzzy $K$-NN for Monitoring Tool Wear in Turning Processes
- (2012) Francisco Penedo et al. IEEE Transactions on Industrial Informatics
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