Article
Engineering, Electrical & Electronic
Da Yu, Changgeng Li
Summary: This paper presents a precise WiFi fingerprinting indoor positioning algorithm using improved PLDA, which achieves lower localization error and can simulate different fingerprint maps based on personnel movement states. After simulation, although there is a slight increase in localization error, the workload during the offline training phase is significantly reduced.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Yitong Dong, Dayu Yan, Tuan Li, Ming Xia, Chuang Shi
Summary: This paper discusses the challenges in smartphone-based indoor positioning technology and proposes a visual-inertial odometry method assisted by pedestrian gait information to improve the accuracy and robustness of positioning.
IEEE SENSORS JOURNAL
(2022)
Article
Chemistry, Analytical
Mengyuan Duan, Xiaokang Lei, Zhongxing Duan, Zhicheng Zheng
Summary: This paper proposes a minimalist indoor self-localization approach for swarm robots based on active optical beacons. The approach utilizes a robotic navigator to project a customized optical beacon on the indoor ceiling, which is observed by the swarm robots to localize their positions and headings. Experimental results demonstrate the feasibility and effectiveness of the approach.
Article
Chemistry, Analytical
Jijun Geng, Linyuan Xia, Jingchao Xia, Qianxia Li, Hongyu Zhu, Yuezhen Cai
Summary: This paper proposes a 3D indoor positioning method based on smartphone MEMS sensors, utilizing a robust adaptive cubature Kalman filter algorithm to estimate pedestrian heading and distinguishing pedestrian behavior patterns based on step frequency information. This method achieves accurate three-dimensional positioning coordinates of indoor pedestrians and meets the demand for location services on personal intelligent user terminals.
Article
Engineering, Electrical & Electronic
Wanlong Zhao, Shuyin Zhao, Gongliang Liu, Weixiao Meng
Summary: This article presents a method of underwater multisensor fusion positioning (UMFP) based on range-only single-beacon (ROSB) technology. By reducing the time and labor of beacon deployment, this method achieves high-precision AUV positioning.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Tao Liu, Xiaoji Niu, Jian Kuang, Shuai Cao, Lei Zhang, Xiang Chen
Summary: The study introduces an indoor localization system for smartphones that mitigates the impact of Doppler shift by combining inertial and acoustic sensors data, and designs an error correction model and improved PDR algorithm to significantly reduce positioning errors.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Ergonomics
Kay Fitzpatrick, Eun Sug Park
Summary: The study found that rectangular rapid flashing beacons (RRFB) are more effective at night, while LED-embedded crossing warning signs (LED-Em) are more effective during the day. Sites with lower speed limits, fewer lanes, narrower lanes, and lower traffic volumes observed higher driver yielding at LED-Em sites.
JOURNAL OF SAFETY RESEARCH
(2021)
Article
Ergonomics
David C. Schwebel, Ragib Hasan, Russell Griffin, Raiful Hasan, Mohammad Aminul Hoque, Md Yasser Karim, Kevin Luo, Anna Johnston
Summary: The study evaluated the effectiveness of the StreetBit app in reducing distracted pedestrian behavior, showing it to be effective in some smartphone users but not in others. The results suggest that the design of the application and the user's smartphone operating system affect its effectiveness.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Environmental Sciences
Bang Wu, Chengqi Ma, Stefan Poslad, David R. Selviah
Summary: The study introduces a novel adaptive human activity-aided PDR indoor positioning system, which enhances accuracy through human activity recognition and PDR optimization.
Article
Engineering, Electrical & Electronic
Fan Yang, Liuyan Gou, Xingxing Cai
Summary: This paper proposes a pedestrian positioning scheme that combines IMU sensors of smartphones and surveillance video. The scheme utilizes PDR information to mark the pedestrians to be located and uses surveillance video to track all pedestrians in the field of view. Video pedestrian tracking is improved by a modified Markov model to reduce trajectory merging and interruption. Fusion of video trajectories is achieved through single-step feature weighting and multi-step DTW to improve matching accuracy. Experimental results show an average positioning error of less than 1.5 m for the proposed fusion scheme.
IEEE SENSORS JOURNAL
(2022)
Article
Chemistry, Analytical
Keiichi Zempo, Taiga Arai, Takuya Aoki, Yukihiko Okada
Summary: This paper proposes a sensing framework for the VCC process in retail stores by improving the indoor positioning system based on environment recognition in metal shelf environments. The system achieved better positioning performance by using IR slit and IR light to avoid errors caused by metal shelves.
Article
Ergonomics
Nafis Anwari, Mohamed Abdel-Aty, Amrita Goswamy, Ou Zheng
Summary: This study evaluates and compares Surrogate Safety Measures (SSMs) at different midblock sites equipped with Rectangular Rapid Flashing Beacons (RRFB) and Pedestrian Hybrid Beacons (PHB) in Florida. Extensive video data collected from July to November 2021 is used to analyze four pedestrian SSMs, including spatial gap, temporal gap, relative time to collision (RTTC), and Post Encroachment Time (PET). The study finds significant differences in SSM values across different treatment types and hours of the day through statistical tests. Regression analysis reveals significant differences in SSMs between RRFB and PHB sites. Non-linear models outperform linear models in predicting SSMs. Factors such as the presence of PHB, signal activation, and pedestrian and vehicular characteristics are found to be significant determinants of SSMs. Results suggest improved traffic safety at PHB sites compared to RRFB sites in terms of temporal SSMs, but decreased spatial gaps at PHB sites indicate pedestrians perceive vehicles to be closer than at RRFB sites.
ACCIDENT ANALYSIS AND PREVENTION
(2023)
Article
Multidisciplinary Sciences
Klemen Bregar
Summary: Indoor positioning using ultra-wideband radio technology provides a cost-effective solution with high accuracy and precision. Researchers collected data in four indoor environments and provided a comprehensive set of data analysis tools for the development and evaluation of range-based positioning algorithms.
Article
Engineering, Electrical & Electronic
Laial Alsmadi, Xiaoying Kong, Kumbesan Sandrasegaran, Gengfa Fang
Summary: The study presents a Filtered RSSI and Beacon Weight Approach (FRBW) that utilizes Kalman filtering for indoor positioning with improved accuracy. By considering the distance and smoothed RSSI values between beacon nodes, the algorithm achieves localization accuracy within a few centimeters using cost-effective Bluetooth Low Energy beacons.
IEEE SENSORS JOURNAL
(2021)
Article
Green & Sustainable Science & Technology
Bhulakshmi Bonthu, Subaji Mohan
Summary: Wi-Fi-based indoor positioning systems are increasingly common in digital transitions. This paper proposes a method that combines pedestrian dead reckoning (PDR) and Wi-Fi fingerprinting to improve the robustness and overall accuracy of the K-NN algorithm. The hybrid method overcomes practical environmental issues and reduces the complexity of the KNN algorithm by selecting the nearest neighbors' search space using the PDR position estimate.
Article
Instruments & Instrumentation
Zengrun Wen, Xiulin Fan, Kaile Wang, Weiming Wang, Song Gao, Wenjing Hao, Yuanmei Gao, Yangjian Cai, Liren Zheng
Summary: This study presents a transition from Q-switched state to continuous wave state in an erbium-doped fiber laser, accompanied by irregular mode-hopping. The results showed that the transition between these two states can be achieved by adjusting the pump power. Modulation peaks were observed on both the Q-switched pulse train and the continuous wave background, and the central wavelength fluctuated.
INFRARED PHYSICS & TECHNOLOGY
(2024)
