Design of an FMCW-LiDAR receiver front-end

This work presents an analog front-end (AFE) signal processing chain for automotive FMCW LiDAR. The AFE consists of a high-gain transimpedance amplifier (TIA) followed by a gain-stage. The gain of the AFE is 103.2dBΩ at a bandwidth of 505MHz. Since the noise of FMCW-LiDAR systems is dominated by the shot noise of the local oscillator (LO), the...

Automating building element detection for deconstruction planning and material reuse: A case study

To address the need for a shift from a linear to a circular economy in the built environment, this paper develops a semi-automated assistive process for planning building material deconstruction for reuse using sensing and scanning, Scan-to-BIM, and computer vision techniques. These methods are applied and tested in a real-world case study in...

The influence of buildings on aeolian coastal dune development

The influence of beach buildings on coastal dune development is still largely unknown, and it could pose a risk to the functionalities coastal dunes provide. The objectives of this research are covered by the main research question: What is the influence of specific types of beach buildings on aeolian coastal dune development and what are...

Deep End-to-end Network for 3D Object Detection in the Context of Autonomous Driving

Nowadays, autonomous driving is a trending topic in the automotive field. One of the most crucial challenges of autonomous driving research is environment perception. Currently, many techniques achieve satisfactory performance in 2D object detection using camera images. Nevertheless, such 2D object detection might be not sufficient for autonomous...

Integrating Scanning Lidar with LES for Wake Characterization in Complex Terrain

Flows over complex terrains present uncertainties in wind farm power production and lifespan. Core to these uncertainties are wake dynamics, which lack adequate models and need further validation. In lieu of conducting field experiments, this study integrates scanning lidar measurements and large eddy simulation (LES) to characterize wakes in...

Sensor Data Fusion of Lidar and Camera for Road User Detection

Object detection is one of the most important research topics in autonomous vehicles. The detection systems of autonomous vehicles nowadays are mostly image-based ones which detect target objects in the images. Although image-based detectors can provide a rather accurate 2D position of the object in the image, it is necessary to get the accurate...

Generating 3D city models without elevation data

Elevation datasets (e.g. point clouds) are an essential but often unavailable ingredient for the construction of 3D city models. We investigate in this paper to what extent can 3D city models be generated solely from 2D data without elevation measurements. We show that it is possible to predict the height of buildings from 2D data (their...

Is replacing meteorological masts possible?

The capability to acquire accurate and reliable measurements of the wind is essential for wind turbine validation and wind resource assessment. These measurements are typically done with tall meteorological masts (met-masts). However, as of 2004 the concept of remote sensing has started to become specialised in wind energy. A key requirement...

Features of Point Clouds and Functionalities of Processing Software

To be useful, the millions or even billions of 3D points generated by a variety of active and passive sensors need to be stored, organised, combined, geo-referenced, measured, analysed and distributed within organisations or outward. Initially, the data is unorganised; software has been designed, developed and put on the market place to organise...

Stabilizing Control System of a Platform of a Buoy for Offshore Wind Assessment

The purpose of this project is to design a control system to stabilize a platform on a buoy. Stabilization of the platform on the buoy is needed for reliable measurements of wind speed and wind direction on sea using LiDAR (Light Detection And Ranging) modules. These modules use the reflection of particles in the air to measure the wind speed...

Segmentation and classification of airborne laser scanner data

Various methods have been developed to measure the physical presence of objects in a landscape with high positional accuracy. A new method that has been gaining popularity is Airborne Laser Scanning (ALS). ALS works by scanning a landscape (the collection of ground, buildings, vegetation, etc.,) in multiple passes. In each scan pulses of laser...