Showing 1-25 of 4,406 resultsfor "Index Terms":Dead Reckoning
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Pedestrian Dead Reckoning System Using Dual IMU to Consider Heel Strike Impact
2018 18th International Conference on Control, Automation and Systems (ICCAS)
Year: 2018 | Conference Paper |
Cited by: Papers (4)
In this paper, we propose pedestrian dead-reckoning (PDR) system using shoe and calf mounting inertial measurement units (IMUs) to consider heel strike impact. Generally, PDR system with shoe mounted inertial sensors often uses zero velocity update (ZUPT) for reducing the influence of the bias and white noises in the gyroscope and accelerometer signals. However, heel strike impact causes a large a...Show More
Smartphone-based Pedestrian Dead Reckoning as an indoor positioning system
2012 International Conference on System Engineering and Technology (ICSET)
Year: 2012 | Conference Paper |
Cited by: Papers (104)
Nowadays, personal positioning systems are more necessary to build many location-based services. Pedestrian Dead Reckoning (PDR), which is a pedestrian positioning technique using the accelerometer sensor to recognize pattern of steps, is an alternative method that has advantages in terms of infrastructure-independent. However, the variation of walking pattern on each individual will make some dif...Show More
A method of pedestrian dead reckoning using action recognition
IEEE/ION Position, Location and Navigation Symposium
Year: 2010 | Conference Paper |
We present a method of estimating the location and orientation of a pedestrian which simultaneously recognizing his/her actions with a single low-cost inertial measurement unit (IMU) mounted at the waist of the user. Some of the actions other than walking locomotion, such as standing up from/sitting down on a chair, and bending over to slip through obstacles, taken by the pedestrians can be mostly...Show More
Indoor positioning using Wi-Fi fingerprinting pedestrian dead reckoning and aided INS
2014 International Symposium on Inertial Sensors and Systems (INERTIAL)
Year: 2014 | Conference Paper |
Cited by: Papers (20)
In this paper we propose a method of indoor navigation using a MEMS-based strapdown inertial navigation system (INS) aided by Wi-Fi signal strength measurements. This system does not rely on any special hardware, a modern smartphone with built-in MEMS sensors (accelerometers and gyroscopes) is sufficient for navigation. The developed INS navigation algorithm is built on the basis of the Kalman Fil...Show More
The extended Kalman filter (EKF) has been used in resea-rch works on attitude estimation of the inertial measurement unit (IMU) and pedestrian dead reckoning (PDR). It is important to improve computation cost to estimate attitude of IMU and the accuracy of attitude estimation for the practical pedestrian navigation system with IMU. In this letter, the Kaisoku EKF (KEKF) is proposed to improve the ...Show More
Drift-Free Indoor Pedestrian Dead Reckoning using Empirical Mode Decomposition
2019 25th Asia-Pacific Conference on Communications (APCC)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
In recent years pedestrian dead reckoning (PDR) has been a popular indoor localization technique that takes advantage of inertial navigation sensors (INS) of smartphones due to its availability. Despite the convenience of INS, noise has been a recurring problem in PDR which encourages many researches on noise filtering. This paper proposes a model that utilizes empirical mode decomposition (EMD) a...Show More
Deep LSTM-Based Multimode Pedestrian Dead Reckoning System for Indoor Localization
Chaehun Im;Chahyeon Eom;Hyunwook Lee;Suhwan Jang;Chungyong Lee
2022 International Conference on Electronics, Information, and Communication (ICEIC)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
We propose a multimode pedestrian dead reckoning (PDR) system using a recurrent neural network. We adopt a long short-term memory (LSTM) layer to extract latent features from the sensor data. We then transform the extracted latent vector using conditional input of the pedestrian's mode to make the model operate in different contexts. Finally, the step length and heading angle are obtained through ...Show More
Investigating the Impact of Outfits on AI-Based Pedestrian Dead Reckoning with a Wearable Inertial Sensor Placed in the Pocket
2023 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
In this article, we explore the impact of outfits on AI-based Pedestrian Dead Reckoning (PDR) with a pocket-worn inertial sensor. This PDR mode faces significant variability due to the countless choices of outfits available. We observe significant variations in the inertial signals captured by a pocket-worn device, which are highly influenced by the outfit being worn. To address this, we propose a...Show More
Person Following Mobile Robot using Pedestrian Dead-Reckoning with Inertial data of Smartphones
Anirban Dam;Ashish Verma;Charan Tej Pangi;Raja Raviteja;Chandra Shekhar Prasad
2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
For a person following mobile robot, identifying the specific host to follow is challenging in presence of other people with similar features in its camera frame or field of view. In this paper we propose the use of Pedestrian Dead-Reckoning using the Inertial Measurement Unit (IMU) data from smartphone of host or user, which is used to localize the user in the map frame of the mobile robot. The m...Show More
Outdoor Localization Based on RSS Ranging Aided by Pedestrian Dead Reckoning in GPS Restricted Scenario
2022 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
The dependence on Global Positioning System (GPS) in outdoor localization is increasing day by day. For the security/surveillance operations, location information is important for both command centers and field commanders. However, GPS information is difficult to use in case of GPS disturbances and GPS shaded area. In this paper, we propose a localization method for ad-hoc sensor network using Rec...Show More
Particle Filter for 1D Underground Localization Based on Pedestrian Dead Reckoning
2019 International Russian Automation Conference (RusAutoCon)
Year: 2019 | Conference Paper |
An algorithm for tracking a pedestrian in an underground local positioning system is discussed. The mine structure is described as a graph. The inertial measurement unit restores the trajectory in real time. The trajectory is fed to the particle filter containing turn detector and edge detector modules. The algorithm effectively works with a small number of particles and can be implemented on a mi...Show More
Single Acceleration Sensor Gyroscope-free Vehicle Inertial Dead Reckoning
2024 5th International Conference on Computer Engineering and Application (ICCEA)
Year: 2024 | Conference Paper |
According to vehicle’s movement, the paper put forward an idea of Single Acceleration sensor Gyroscope-free Vehicle inertial navigation System used in vehicle inertial track calculation, which can simplify the configuration of inertial navigation system. The paper derived the relationship among the vehicle’s travel path, the velocity and the lateral acceleration, and simplified the algorithm based...Show More
An Improved Three-dimensional Indoor Positioning Algorithm Based on Pedestrian Dead Reckoning
2023 8th International Conference on Intelligent Computing and Signal Processing (ICSP)
Year: 2023 | Conference Paper |
Due to the complex indoor environment of the buildings, Two-dimensional (2D) indoor positioning is difficult to meet the needs of people. Therefore, it is necessary to make some improvements in three-dimensional (3D) indoor positioning. In this paper, a 3D indoor positioning algorithm based on improved pedestrian dead-reckoning (PDR) is proposed. The PDR was improved in motion pattern recognition ...Show More
Gyro Bias Estimation with Quasi-Static Magnetic Field in Foot-Mounted Pedestrian Dead Reckoning
2020 IEEE/ION Position, Location and Navigation Symposium (PLANS)
Year: 2020 | Conference Paper |
In this paper, the quasi-static magnetic field (QSF) aided gyro bias estimation method with zero angular rate recognition is proposed. The integration approach (IA)-based PDR system is a method of estimating the user's position using an inertial sensor attached to a shoe. Since the structure is similar to that of INS, accurate gyro bias estimation is required to reduce the error. A reliable way to...Show More
Enhanced Position Estimation Based on Hybrid Bluetooth and Pedestrian Dead Reckoning using Sensor Fusion Algorithm in Indoor Navigation
Hafiz Sheraz Sheikh;Awais Abbas;Saadullah Farooq Abbasi;Haseeb Rustam;Ghulam Qasim
2023 IEEE International Conference on Emerging Trends in Engineering, Sciences and Technology (ICES&T)
Year: 2023 | Conference Paper |
Complex sensor-network infrastructure in state-of-the-art local positioning systems (LPS) helps to locate the position with enough accuracy and coverage. The framework of the proposed model presents a generic infrastructure as well as a detailed infrastructure for the proposed position estimation via hybrid Bluetooth and pedestrian dead reckoning using a sensor fusion algorithm in an indoor naviga...Show More
Leader Follower Navigation System based on Pedestrian Dead Reckoning for Mobile Robot Navigation
2019 International Seminar on Intelligent Technology and Its Applications (ISITIA)
Year: 2019 | Conference Paper |
Navigation systems are the first things to have for all types of unmanned vehicles whether it is land, water, or air vehicles. Navigation systems are divided into independent and leader-follower. Today, Global Positioning System (GPS) plays an important role for vehicle positioning. Nevertheless, GPS has a weakness that the signals will be distorted when the GPS receivers are placed in indoor envi...Show More
Robust Walking Direction Estimation via Principal Component Pursuit in Pedestrian Dead Reckoning
2023 23rd International Conference on Control, Automation and Systems (ICCAS)
Year: 2023 | Conference Paper |
In pedestrian dead reckoning (PDR) systems, accurate estimation of the walking direction is of paramount importance for achieving high localization accuracy. Despite numerous research endeavors in this area, a remaining challenge lies in cases where the direction indicated by the sensors does not align with the actual pedestrian's walking direction. In this paper, we address this misalignment prob...Show More
Indoor pedestrian tracking extends location-based services to indoor environments where GPS signal is rarely detected. Typical indoor localization method is Wi-Fi-based positioning system, which is practical showing accuracy and extending coverage. However, it involves significant costs of installing and managing wireless access points. A practical indoor pedestrian-tracking approach should consid...Show More
Pedestrian dead reckoning system with phone location awareness algorithm
IEEE/ION Position, Location and Navigation Symposium
Year: 2010 | Conference Paper |
In this paper we present a PDR (Pedestrian Dead Reckoning) system with a phone location awareness algorithm. PDR is a device which provides position information of the pedestrian. In general, the step length is estimated using a linear combination of the walking frequency and the acceleration variance for the mobile phone. It means that the step length estimation accuracy is affected by coefficien...Show More
Omnidirectional Pedestrian Navigation for First Responders
2007 4th Workshop on Positioning, Navigation and Communication
Year: 2007 | Conference Paper |
It might be assumed that dead reckoning approaches to pedestrian navigation could address the needs of first responders, including fire fighters. However, conventional PDR approaches with body-mounted motion sensors can fail when used with the irregular walking patterns typical of urban search and rescue missions. In this paper, a technique using shoe-mounted sensors and inertial mechanization equ...Show More
A Backtracking Particle Filter for fusing building plans with PDR displacement estimates
2008 5th Workshop on Positioning, Navigation and Communication
Year: 2008 | Conference Paper |
It is known that Particle Filter and Map Filtering techniques can be used to improve the performance of positioning systems, such as Pedestrian Dead Reckoning (PDR). In previous research on indoor navigation, it was generally assumed that detailed building plans were available. However, in many emer gency / rescue scenarios, there may be only limited building plan information on hand. The purpose ...Show More
Pedestrian navigation based on inertial sensors, indoor map, and WLAN signals
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2012 | Conference Paper |
As satellite signals, e.g. GPS, are severely degraded indoors or not available at all, other methods are needed for indoor positioning. In this paper, we propose methods for combining information from inertial sensors, indoor map, and WLAN signals for pedestrian indoor navigation. We present results of field tests where complementary extended Kalman filter was used to fuse together WLAN signal str...Show More
A function-well robot should accommodate the indoor and outdoor environment, which requires the perception system to be more robust, and the localization should keep good accuracy. In this paper, we focus on the localization problems. we try to propose a fusion method to combine the RTK-GPS with the lidar based SLAM method to design a localization mechanism to make a four-wheel-independent-drive m...Show More
3-D human navigation system considering various transition preferences
2005 IEEE International Conference on Systems, Man and Cybernetics
Year: 2005 | Conference Paper |
Cited by: Papers (17)
Walking is the most fundamental means of human transportation. Unlike travel by car, walking is not planar, but rather stereoscopic. We therefore developed a real navigation system for pedestrian point-to-point navigation. We propose herein a method of 3D pedestrian navigation, in which position detection is driven mainly by dead reckoning. The proposed method enables ubiquitous round-the-clock 3D...Show More
Indoor Navigation Algorithm Based on a Smartphone Inertial Measurement Unit and Map Matching
2021 International Conference on Information and Communication Technology Convergence (ICTC)
Year: 2021 | Conference Paper |
Cited by: Papers (15)
We propose an indoor navigation algorithm based on pedestrian dead reckoning (PDR) using an inertial measurement unit in a smartphone and map matching. The proposed indoor navigation system is user-friendly and convenient because it requires no additional device except a smartphone and works with a pedestrian in a casual posture who is walking with a smartphone in their hand. Because the performan...Show More
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