A5033254605- Autonomous Vehicle Technology and Safety
- Real-time simulation and control systems
- Vehicular Ad Hoc Networks (VANETs)
- Remote Sensing and LiDAR Applications
- Human-Automation Interaction and Safety
- Target Tracking and Data Fusion in Sensor Networks
- Traffic control and management
- Advanced Optical Sensing Technologies
- Fire Detection and Safety Systems
- Sports Science and Education
- Radar Systems and Signal Processing
- Traffic and Road Safety
- Cardiac Arrest and Resuscitation
- Air Quality Monitoring and Forecasting
- Technology, Environment, Urban Planning
- Manufacturing Process and Optimization
- Simulation Techniques and Applications
- Underwater Acoustics Research
- Aerospace and Aviation Technology
- Electromagnetic Compatibility and Measurements
- Systems Engineering Methodologies and Applications
- Traffic Prediction and Management Techniques
- Persona Design and Applications
- Air Traffic Management and Optimization
- Safety Warnings and Signage
Graz University of Technology
2015-2023
China Automotive Engineering Research Institute
2013-2017
The virtual validation of automated driving functions requires meaningful simulation models environment perception sensors such as radar, lidar, and cameras. There does not yet exist an unrivaled standard for sensor models, radar especially lacks modeling approaches that consistently produce realistic results. In this paper, we present measurements exemplify challenges in the development models. We highlight three major challenges: multi-path propagation, separability, sensitivity cross...
In recent years, verification and validation processes of automated driving systems have been increasingly moved to virtual simulation, as this allows for rapid prototyping the use a multitude testing scenarios compared on-road testing. However, in order support future approval procedures functions with simulations, models used purpose must be sufficiently accurate able test implemented complete vehicle model. modelling environment sensor technology has gained particular interest, since it...
A spectacular measurement campaign was carried out on a real-world motorway stretch of Hungary with the participation international industrial and academic partners. The resulted in vehicle based infrastructure sensor data that will be extremely useful for future automotive R&D activities due to available ground truth static dynamic content. aim twofold. On one hand, road geometry mapped high precision order build Ultra High Definition (UHD) map test road. other vehicles—equipped...
Vehicle safety promises to be one of the Advanced Driver Assistance System’s (ADAS) biggest benefits. Higher levels automation remove human driver from chain events that can lead a crash. Sensors play an influential role in vehicle driving as well ADAS by helping watch vehicle’s surroundings for safe driving. Thus, load is drastically reduced steering accelerating and braking long-term The baseline development future intelligent vehicles relies even more on fusion data surrounding sensors...
Vehicle safety promises to be one of the Advanced Driver Assistance System (ADAS) biggest benefits. Higher levels automation remove human driver from chain events that can lead a crash. Sensors play an influential role in vehicle driving as well ADAS by helping watch vehicle’s surroundings for safe driving. Thus, load is drastically reduced steering accelerating and braking long-term The baseline development future intelligent vehicles relies even more on fusion data surrounding sensors such...
(1) Background: Due to its high safety potential, one of the most common ADAS technologies is lane support system (LSS). The main purpose LSS prevent road accidents caused by departure or entrance in other vehicles. Such are especially on rural roads during nighttime. In order for function properly, markings should be properly maintained and have an adequate level visibility. During nighttime, visibility determined their retroreflectivity. aim this study investigate how markings'...
Lateral support systems in vehicles have a high potential for reduction of lane departure crashes. To profit from their full potential, such should function properly adverse conditions. Literature indicates that accuracy varies between day and night-time. However, detailed quantifications the systems’ performance these conditions are rare. The aim this study is to investigate differences detection quality view range Mobileye 630 dry daytime night-time On-road tests on four rural road...
Automated driving requires a reliable digital representation of the environment, which is achieved by various vehicle sensors. Wireless devices for communication between vehicles and infrastructure (Car2X communication) provide additional data beyond vehicle’s sensor range. In order to reduce amount on-road testing, there has been an increased use numerical simulation in development automated functions, demands accurate models sensors involved. The present research deals with Car2X...
Despite the progress in driving automation, market introduction of higher-level automation has not yet been achieved. One main reasons for this is effort safety validation to prove functional customer. However, virtual testing may compromise challenge, but modelling machine perception and proving its validity solved completely. The present research focuses on a novel approach automotive radar sensors. Due complex high-frequency physics radars, sensor models vehicle development are...
With the development of autonomous driving technology, requirements for machine perception have increased significantly. In particular, camera-based lane detection plays an essential role in vehicle trajectory planning. However, is subject to high complexity, and it sensitive illumination variation, appearance, age marking. addition, sheer infinite number test cases highly automated vehicles requires increasing portion validation be performed simulation X-in-the-loop testing. To model...
The paper presents the measurement campaign carried out on a real-world motorway stretch of Hungary with participation both industrial and academic partners from Austria Hungary. included vehicle based as well infrastructure sensor data. obtained results will be extremely useful for future automotive R&D activities due to available ground truth static dynamic content. aim was twofold. On one hand, road geometry mapped high precision in order build Ultra High Definition (UHD) map...
A well-established Lane Keeping Assist System (LKAS) plays an important role in the field of Automated Driving (AD). An essential issue LKAS and generally Advanced Systems (ADAS) is lane detection. Due to fact that camera systems are inexpensive, most detection methods vision based. To cope with infinite number test cases, virtual testing ADAS has become state art. Realistic behavior analytical models components crucial for reliable simulation results. The focus this study performance...
The possibility to implement Advanced Driving Assistance Systems (ADAS) into motorcycle, referred ARAS (Advanced Rider Systems), compared passenger cars might be more difficult. On behalf of ARAS, the On-Bike Information (OBIS) respectively C2X systems offer potential reduce amount motorcycle causalities. Within this study effectiveness in terms accident prevention is analyzed. method was divided two steps. At first operating range a system tested physically at different sites e.g. urban,...
The market introduction of automated driving functions poses a significant challenge in terms safety validation, primarily due to the complexity real traffic test cases. While virtual testing has emerged as viable solution, accurate replication physical perception sensors environments remains formidable task. This study presents an evaluation method for sensors, specifically focusing on their performance and real-driving behaviour scenarios. Real data from proving ground is collected...