Avalanches pose a significant threat to the population and infrastructure of mountainous regions. The mapping documentation avalanches in Austria is mostly done by experts during field observations covers usually only specific localized areas. A comprehensive is, however, crucial for work local avalanche commissions as well warning services assess, e.g., danger. Over past decade, from satellite imagery has proven be promising rapid approach monitor activity Several recent detection...

Lidar is an important component of the perception suite for automated systems. The effects vibration on lidar point clouds are mostly unknown, despite lidar's wide adaption and usual application under conditions where occurs frequently. In this study, we performed controlled tests from 6 to 2000 Hz at 9 12 m/s2 in vertical direction automotive OS1-64 by Ouster. An information loss emerged which independent frequency acceleration. points randomly distributed does not correlate with range,...

The rapid advancement and commercialization of low-cost (0.5k to 20k EUR) lidar have transformed how researchers monitor analyze dynamic environmental processes. Initially developed for industries like automotive navigation robotics, these compact cost-effective sensors gained significant traction in geoscience. Many operate the wavelength range 900 1000 nm, where ice is highly reflective, making them particularly suited cryospheric observations. In addition their affordability, systems are...

Lidar sensors play an essential role in the perception system of automated vehicles. Fault Detection, Isolation, Identification, and Recovery (FDIIR) systems are for increasing reliability lidar sensors. Knowing influence different faults on data is first crucial step towards fault detection We investigate influences sensor cover contaminations output data, i.e., point cloud full waveform. Different contamination types were applied (dew, dirt, artificial foam, water, oil) single beam RIEGL...

The main objective of this article is to provide angle-dependent spectral reflectance measurements various materials in the near infrared spectrum. In contrast already existing libraries, e.g., NASA ECOSTRESS and Aster which consider only perpendicular measurements, presented dataset includes angular resolution material reflectance. To conduct a new measurement device based on 945 nm time-of-flight camera used, was calibrated using Lambertian targets with defined values at 10, 50, 95%. are...

Sensor models provide the required environmental perception information for development and testing of automated driving systems in virtual vehicle environments. In this article, a configurable sensor model architecture is introduced. Based on methods model-based engineering (MBSE) functional decomposition, approach supports flexible continuous way to use automotive development. Modeled effects, representing single-sensor properties, are combined an overall behavior. This improves...

Point clouds are a very common format for representing three dimensional data.Point can be acquired by different sensor types and methods, such as lidar (light detection ranging), radar (radio RGB-D (red, green, blue, depth) cameras, photogrammetry, etc.In many cases multiple point recorded over time, e.g., automotive lidars record with high acquisition frequencies (typically around 10-20Hz) resulting in millions of points per second.Analyzing large collection is big challenge due to the...

Abstract. We propose a newly developed modular MObile LIdar SENsor System (MOLISENS) to enable new applications for small industrial lidar (light detection and ranging) sensors. The stand-alone setup supports both monitoring of dynamic processes mobile mapping based on SLAM (Simultaneous Localization Mapping) algorithms. main objective MOLISENS is exploit emerging perception sensor technologies the automotive industry geoscientific applications. However, can also be used other application...

Safe automated driving requires reliable perception sensors with low fault rates. Detecting sensor faults before path planning avoids propagation through the processing pipeline of vehicles. As basis for further development detection algorithms, present work presents effects damaged lidar covers considering scratches, cracks, and holes. We used an automotive lidar, which provides point clouds, calculated deviations between points on a target ideal plane representing to evaluate effect...

Point clouds can be acquired by different sensor types and methods, such as lidar (light detection ranging), radar (radio RGB-D (red, green, blue, depth) cameras, SfM (structure from motion), etc. In many cases multiple point are recorded over time, sometimes also referred to 4D clouds. For example, automotive lidars Ouster or Velodyne record at around 10-20Hz resulting in millions of points per second. In addition, monitoring with terrestrial laser scanners is becoming...

The cryosphere's dynamic processes, from snow accumulation and avalanche activity to glacier calving, demand innovative monitoring solutions that offer both high spatial temporal resolution. Current advancements in sensor technology are revolutionizing environmental monitoring. Our research introduces MOSEP (Modular Multi-Sensor System for Environment Perception), a novel, adaptable multi-sensor platform employing sensors traditionally used autonomous vehicles, repurposed This system...

Traditional methods for surveying the spatial and temporal distribution of snow are often time-consuming, costly, potentially hazardous. To address these challenges, we propose a novel approach utilizing newly developed sensor system based on cost-effective industrial lidar sensors. This is designed to be mounted cable cars, enabling continuous envi- ronmental scanning during regular operations. The integrates data from lidar, an Inertial Measurement Unit (IMU), Global Navigation Satellite...

Abstract. We propose a newly developed modular MObile LIdar SENsor System (MOLISENS) to enable new applications for automotive light detection and ranging (lidar) sensors independent of complete vehicle setup. The stand-alone, setup supports both monitoring dynamic processes mobile mapping based on Simultaneous Localization Mapping (SLAM) algorithms. main objective MOLISENS is exploit emerging perception sensor technologies the industry geoscientific applications. However, can also be used...

We investigated the effects of mechanical sensor cover damages like scratches, cracks, and holes on point clouds<br>of automotive lidar.

Monitoring of local snow avalanche releases are indispensable for many use cases. Existing lidar and radar technologies monitoring activity costly require closed source commercial software. These systems often inflexible exploring new cases too expensive large scale applications, e.g., 100-1000 slopes. Therefore, developing reliable inexpensive measurement techniques with cutting- edge technology highly required. Today, the automotive industry is a leading driver sensors, because largest...

Snow avalanches pose a significant danger to the population and infrastructure in Austrian Alps. Although rigorous prevention mitigation mechanisms are place Austria, accidents cannot be prevented, victims mourned every year. A comprehensive mapping of would desirable support work local avalanche commissions improve future predictions. In recent years, from satellite images has been proven promising fast approach monitor activity. The Copernicus Sentinel-1 mission provides weather...

<p>Today, the automotive industry is a leading technology driver for lidar systems, because largest challenge achieving next level of vehicle automation to improve reliability vehicles’ perception system. High costs mechanically spinning lidars are still limiting factor, but prices have already dropped significantly during last decade and expected drop by another order magnitude in upcoming years thanks new technologies like micro-electro-mechanical systems (MEMS)...

<p>We enable exciting and novel mapping monitoring use cases for automotive lidar technologies in the Arctic. Originally, these were developed enabling environment perception of automated vehicles with high spatial resolution accuracy. Therefore, sensors have several advantages mobile applications Arctic compared to commonly used like time-lapse cameras satellite or aerial photogrammetry that suffer from lower accuracy 3-dimensional (3D) data than proposed sensors. At present,...

We investigated the effects of mechanical sensor cover damages like scratches, cracks, and holes on point clouds<br>of automotive lidar.