Distributed Measurement Framework for UWB Communications, Localization, and Sensing
GraphRelate3D: Context-Dependent 3D Object Detection with
Inter-Object Relationship Graphs
Radio measurements are essential for the development of next generation wireless networks, which are expected to be multi-functional and handle a massive number of devices. Therefore, we present a flexible modular measurement…
Accurate and effective 3D object detection is critical for ensuring the driving safety of autonomous vehicles. Recently, state-of-the-art two-stage 3D object detectors have exhibited promising performance. However, these methods…
An Online Self-Correcting Calibration Architecture for Multi-Camera Traffic Localization Infrastructure
Joint Vehicle Pose and Extent Estimation in the Context of Multi-Camera Traffic Surveillance
Most vision-based sensing and localization infras- tructure today employ conventional area scanning cameras due to the high information density and cost efficiency offered by them. While the information-rich two-dimensional images provided by such sensors…
In this paper, we introduce a novel method for the estimation of vehicle pose and extent in traffic surveillance scenarios based on camera data. The state estimation is performed in a common world frame, enabling the seamless integration…
Sensing in the Third Dimension: UWB-Based Sensing in Urban Canyons
Increased Traffic Safety By Means Of Intelligent Detection And Localization Technologies
Joint communication & sensing (JCS) enables the reuse of communication technology to detect passive objects by their influence on radio frequency (RF) wave propagation. Typically, the detection is done in a two-dimensional setup…
The two technologies presented in this paper, „Communication Location Surveillance“ (CLS) and radar classification by means of evaluation of micro-Doppler spectra have been adapted…
Modeling Inter-Vehicle Occlusion Scenarios in Multi-Camera Traffic Surveillance Systems
An Online Self-Correcting Calibration Architecture for Multi-Camera
Traffic Localization Infrastructure
In this paper, we present a novel design for a multi-camera tracking system with occlusion-handling capabilities and its application to a highway traffic surveillance system…
Most vision-based sensing and localization infrastructure today employ conventional area scanning cameras due to the high information density and cost efficiency offered by them…
A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook
Hybrid frequency modulation network for image restoration
Autonomous driving has rapidly developed and shown promising performance due to recent advances in hardware and deep learning techniques. High-quality datasets are fundamental for…
Image restoration involves recovering a high-quality image from its corrupted counterpart. This paper presents an effective and efficient framework for image restoration, termed CSNet…
Empirical Fading Model and Bayesian Calibration for Multipath-Enhanced Device-Free Localization
Multipath-enhanced device-free localization (MDFL) systems determine presence and location of objects and users not necessarily equipped with localization devices…