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- articleJune 2024
Performance Study of Object Tracking with Multiple Kalman Filters in Autonomous Driving Systems
ACM SIGAda Ada Letters (SIGADA), Volume 43, Issue 2Pages 89–93https://doi.org/10.1145/3672359.3672374Object tracking is an important and central aspect of autonomous driving, as it underlies the obstacle detection and avoidance systems of any type of autonomous vehicles. A widely used method for tracking is based on Kalman filters, both for linear and ...
- research-articleApril 2024
KalmanHD: Robust On-Device Time Series Forecasting with Hyperdimensional Computing
ASPDAC '24: Proceedings of the 29th Asia and South Pacific Design Automation ConferencePages 710–715https://doi.org/10.1109/ASP-DAC58780.2024.10473878Time series forecasting is shifting towards Edge AI, where models are trained and executed on edge devices instead of in the cloud. However, training forecasting models at the edge faces two challenges concurrently: (1) dealing with streaming data ...
- invited-talkDecember 2022
False Data Injection Attacks on Sensor Systems
ICCAD '22: Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided DesignArticle No.: 10, Pages 1–5https://doi.org/10.1145/3508352.3561098False data injection attacks on sensor systems are an emerging threat to cyberphysical systems, creating significant risks to all application domains and, importantly, to critical infrastructures. Cyberphysical systems are process-dependent leading to ...
- research-articleDecember 2021
Multiple Iterative Kalman Filter SINS Initial Alignment Algorithm
EITCE '21: Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer EngineeringPages 1101–1105https://doi.org/10.1145/3501409.3501604Initial alignment is the pre-step of the SINS navigation solution. High-precision initial alignment technology is an important guarantee for SINS's long-time, long-distance, and high-precision navigation and positioning. Kalman filter, as an important ...
Reproducibility Companion Paper: Kalman Filter-Based Head Motion Prediction for Cloud-Based Mixed Reality
- Serhan Gül,
- Sebastian Bosse,
- Dimitri Podborski,
- Thomas Schierl,
- Cornelius Hellge,
- Marc A. Kastner,
- Jan Zahálka
MM '21: Proceedings of the 29th ACM International Conference on MultimediaPages 3619–3621https://doi.org/10.1145/3474085.3477936In our MM'20 paper,, we presented a Kalman filter-based approach for prediction of head motion in 6DoF. The proposed approach was employed in our cloud-based volumetric video streaming system to reduce the interaction latency experienced by the user. In ...
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- research-articleDecember 2021
Research on visual servo for stator laminations sorting
ICFEICT 2021: International Conference on Frontiers of Electronics, Information and Computation TechnologiesArticle No.: 48, Pages 1–4https://doi.org/10.1145/3474198.3478161In order to improve the level of automation manufacturing and testing in production of motor manufacturing process, a visual servo based manipulator system for sorting stator laminations is proposed. In this paper, a simulation model of the visual servo ...
- research-articleMay 2021
Sequential Transform Learning
ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 15, Issue 5Article No.: 86, Pages 1–18https://doi.org/10.1145/3447394This work proposes a new approach for dynamical modeling; we call it sequential transform learning. This is loosely based on the transform (analysis dictionary) learning formulation. This is the first work on this topic. Transform learning, was ...
- research-articleJanuary 2021
The KF-SVM-based fusion method for multi sensor uncertain system with correlated noise
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 40, Issue 6Pages 10373–10383https://doi.org/10.3233/JIFS-192116For multi-sensor target tracking system, the accurate state estimation is obtained under the condition that the system model is unbiased and the noise disturbance satisfies the characteristics of independent Gaussian white noise. However, in engineering ...
- research-articleJanuary 2021
Research on LED multi-sector stable display model in variable rotational speed
Journal of Computational Methods in Sciences and Engineering (JOCMSE), Volume 21, Issue 5Pages 1509–1519https://doi.org/10.3233/JCM-215055To solve the display distortion caused by the motor rotational speed changes in the long-term operation of the rotating LED multi-sector display system, the model for LED multi-sector stable display (MSSD) in variable rotational speed is proposed ...
- research-articleOctober 2020
Kalman Filter-based Head Motion Prediction for Cloud-based Mixed Reality
MM '20: Proceedings of the 28th ACM International Conference on MultimediaPages 3632–3641https://doi.org/10.1145/3394171.3413699Volumetric video allows viewers to experience highly-realistic 3D content with six degrees of freedom in mixed reality (MR) environments. Rendering complex volumetric videos can require a prohibitively high amount of computational power for mobile ...
- research-articleJanuary 2020
Bayesian approach to linear state space model with unknown measurement matrix
A linear state space model is of two equations, one of state space and the other of measurement. Estimation methods for the parameters of the model have been developed from the historic Kalman filter method. The Bayes estimation has also been used ...
- research-articleOctober 2019
Clustering Optimization for Abnormality Detection in Semi-Autonomous Systems
MULEA '19: 1st International Workshop on Multimodal Understanding and Learning for Embodied ApplicationsPages 33–41https://doi.org/10.1145/3347450.3357657The use of machine learning techniques is fundamental for developing autonomous systems that can assist humans in everyday tasks. This paper focus on selecting an appropriate network size for detecting abnormalities in multisensory data coming from a ...
- research-articleOctober 2018
An Efficient Movement-Based Handover Prediction Scheme for Hierarchical Mobile IPv6 in VANETs
PE-WASUN'18: Proceedings of the 15th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous NetworksPages 47–54https://doi.org/10.1145/3243046.3243053Wireless mobile communication in vehicular networks is essential for the content delivery of road safety and infotainment services to drivers. However, the vehicles' high mobility and topology changes affect the performance of traditional mobility ...
- research-articleJuly 2018
State Space Models for Forecasting Water Quality Variables: An Application in Aquaculture Prawn Farming
KDD '18: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data MiningPages 177–185https://doi.org/10.1145/3219819.3219841A novel approach to deterministic modelling of diurnal water quality parameters in aquaculture prawn ponds is presented. The purpose is to provide assistance to prawn pond farmers in monitoring pond water quality with limited data. Obtaining sufficient ...
- research-articleMay 2018
Sensor CON-Fusion: Defeating Kalman Filter in Signal Injection Attack
ASIACCS '18: Proceedings of the 2018 on Asia Conference on Computer and Communications SecurityPages 511–524https://doi.org/10.1145/3196494.3196506In recent years, information systems have become increasingly able to interact with the real world by using relatively cheap connected embedded devices. In such systems, sensors are crucial components because systems can observe the real world only ...
- research-articleJanuary 2018
Driving-situation-aware adaptive broadcasting rate scheme for vehicular ad hoc network
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 35, Issue 1Pages 423–438https://doi.org/10.3233/JIFS-169600In vehicular ad hoc networks, vehicles need to exchange their recent mobility information at a high rate to maintain network agility and to preserve the performance of applications. Unfortunately, a high broadcasting rate affects the performance of both ...
- research-articleNovember 2017
Tracking Vehicles Equipped with Dedicated Short-Range Communication at Traffic Intersections
DIVANet '17: Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and ApplicationsPages 9–16https://doi.org/10.1145/3132340.3132356In the near future, the traffic stream will contain both connected and autonomous vehicles with Dedicated Short-Range Communication (DSRC) vehicle-to-infrastructure (V2I) capabilities. With these new technologies, it will become possible to optimize the ...
- research-articleOctober 2017
Towards Forward-looking Online Bitrate Adaptation for DASH
MM '17: Proceedings of the 25th ACM international conference on MultimediaPages 1122–1129https://doi.org/10.1145/3123266.3123284Many commercial video players rely on bitrate adaptation algorithm to adapt video bitrate to dynamic network condition. To achieve a high quality of experience, bitrate adaptation algorithm is required to strike a balance between response agility and ...
- research-articleAugust 2017
Seasonality in dynamic stochastic block models
WI '17: Proceedings of the International Conference on Web IntelligencePages 976–979https://doi.org/10.1145/3106426.3109424Sociotechnological and geospatial processes exhibit time varying structure that make insight discovery challenging. This paper proposes a new statistical model for such systems, modeled as dynamic networks, to address this challenge. It assumes that ...
- research-articleMarch 2017
Microwatt end-to-end digital neural signal processing systems for motor intention decoding
This paper presents microwatt end-to-end digital signal processing (DSP) systems for deployment-stage real-time upper-limb movement intent decoding. This brain computer interface (BCI) DSP systems feature intercellular spike detection, sorting, and ...