The high popularity of ultra-wideband technology for accurate indoor positioning in industrial and public spaces has led to a large amount of research in recent years. The focus has mostly been on localization accuracy in small-scale setups with a single localization zone. However, solutions designed for line-of-sight environments are not suitable for many large-scale applications. To overcome this lack of research, we propose novel concepts for precise wireless multi-hop clock synchronization and localization zone selection.
For many applications relative position information is critical. One particular case is the prevention of compressed air breathing accidents in operations with low visibility. Here, separation of first responders in an unknown and dangerous en- vironment could yield a fatal outcome. The goal of this work is to introduce technology that assists firefighters in situations with no visibility to locate team members.
Overcoming a technology barrier by providing scalable, high accuracy, real-time localization through energy-efficient, scheduled time-difference of arrival channel access. We could show that simultaneous processing and provisioning of more than a thousand localization results per second with high reliability is possible using the proposed approach.
Analyzing the interdependency of various system performance criteria, in particular multi-user scalability, real-time capability and energy efficiency of time of arrival based wireless localization. We provide an overview by comparing the predominant system topologies and develop analytical models validated by experiments to evaluate the individual trade-offs.
Augmenting and fusing state of the art ultra-wideband (UWB) localization with monocular simultaneous localization and mapping (SLAM) to enable autonomous flight in areas not covered by wireless localization.
Improving the accuracy and robustness of time-difference of arrival (TDOA) based ultra-wideband (UWB) localization systems. This is achieved through improved filtering, sensor fusion and signal quality assessment.
The specific challenge addressed in this paper is enabling novel applications with autonomous UAV systems through tight integration with scalable and precise receiver-side time-difference of arrival (TDOA) based ultra-wideband (UWB) indoor localization.
The specific challenge addressed in this paper is the prediction of orientation induced ranging errors through channel response analysis. For the in-depth validation of the proposed methodology, two experiments are performed.
This paper proposes and validates a novel approach for a multi-user time-difference of arrival based localization system using wireless clock synchronization. The system accuracy is assessed using a complex experiment, covering robotic movement and an optical reference system for comparable results.
This paper proposes and validates a novel multi-user time-difference of arrival based localization approach using wireless clock synchronization to overcome the limitations of two-way ranging based positioning. The clock characteristics of the individual nodes are experimentally analyzed and the requirements and constraints for wireless clock synchronization are elaborated based on the experiments.