Norbert Druml
YOU?
Author Swipe
View article: Programmable Systems for Intelligence in Automobiles (PRYSTINE): Final results after Year 3
Programmable Systems for Intelligence in Automobiles (PRYSTINE): Final results after Year 3 Open
Autonomous driving is disrupting the automotive industry as we know it today. For this, fail-operational behavior is essential in the sense, plan, and act stages of the automation chain in order to handle safety-critical situations on its …
Towards Synchronisation of Multiple Independent MEMS-based Micro-Scanning LiDAR Systems. Open
In intelligent vehicles, it is indispensable to have reliable Advanced Driver-Assistance Systems (ADAS) on board. These ADAS require various types of sensors, like Light Detection and Ranging (LiDAR). Nowadays, drivers delegate some respon…
View article: PRYSTINE - Technical Progress After Year 1
PRYSTINE - Technical Progress After Year 1 Open
Among the actual trends that will affect society in the coming years, autonomous driving stands out as having the potential to disruptively change the automotive industry as we know it today. For this, fail-operational behavior is essentia…
Fast Angle Adaption of a MEMS-based LiDAR System Open
The amount of Advanced Driver-Assistance Systems (ADAS) in middle-class cars are increasing steadily. Next generation ADAS will take control in fully automated vehicles. Light Detection And Ranging (LiDAR) will be one of the key enablers f…
Towards Synchronous Mode of Multiple Independently Controlled MEMS Mirrors Open
Light Detection and Ranging (LiDAR) will be one of the key enablers of smart mobility. Smart mobility creates a fully connected urban environment with graceful benefits for the city such as quality of life, reduced costs and more efficient…
Review of LiDAR Sensor Data Acquisition and Compression for Automotive Applications Open
Due to specific dynamics of the operating environment and required safety regulations, the amount of acquired data of an automotive LiDAR sensor that has to be processed is reaching several Gbit/s. Therefore, data compression is much-neede…
Fog Effects on Time-of-Flight Imaging Investigated by Ray-Tracing Simulations Open
Time-of-Flight (ToF) sensors are a key technology for autonomous vehicles and autonomous mobile robotics. Quantifying the extent of perturbation induced by atmospheric phenomena on ToF imaging is critical to identify effective correction s…
Investigating Intense Rainfall Influence on Distance Measurement with a Time-of-Flight Camera Sensor Using Optical Ray-Tracing Simulation Technique Open
Robust, fast and reliable examination of the surroundings is essential for further advancements in autonomous driving and robotics. Time-of-Flight (ToF) camera sensors are a key technology to measure surrounding objects and their distances…
MEMS-based lidar for autonomous driving Open
Lidar, the acronym of light detection and ranging, has received much attention for the automotive industry as a key component for high level automated driving systems due to their high resolution and highly accurate 3D imaging of the surro…
View article: PROCEDURE ENABLING SIMULATION AND IN-DEPTH ANALYSIS OF OPTICAL EFFECTS IN CAMERA-BASED TIME-OF-FLIGHT SENSORS
PROCEDURE ENABLING SIMULATION AND IN-DEPTH ANALYSIS OF OPTICAL EFFECTS IN CAMERA-BASED TIME-OF-FLIGHT SENSORS Open
This paper presents a simulation approach for Time-of-Flight cameras to estimate sensor performance and accuracy, as well as to help understanding experimentally discovered effects. The main scope is the detailed simulation of the optical …
Simulating Rain Droplets Influence on Distance Measurement with a Time-of-Flight Camera Sensor Open
Time-of-Flight (ToF) camera sensors measure simultaneously the light intensity and the scene distance on a pixel basis. Environmental effects, like rain droplets between the scene and the ToF camera, have an impact on the distance accuracy…