5 papers · 1 filter
A Benchmark for Spray from Nearby Cutting Vehicles
Stefanie Walz, Mario Bijelic, Florian Kraus +3
Current driver assistance systems and autonomous driving stacks are limited to well-defined environment conditions and geo fenced areas. To increase driving safety in adverse weath…
Using Machine Learning to Detect Ghost Images in Automotive Radar
Florian Kraus, Nicolas Scheiner, Werner Ritter +1
Radar sensors are an important part of driver assistance systems and intelligent vehicles due to their robustness against all kinds of adverse conditions, e.g., fog, snow, rain, or…
Off-the-shelf sensor vs. experimental radar -- How much resolution is necessary in automotive radar classification?
Nicolas Scheiner, Ole Schumann, Florian Kraus +3
Radar-based road user detection is an important topic in the context of autonomous driving applications. The resolution of conventional automotive radar sensors results in a sparse…
Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar
Nicolas Scheiner, Florian Kraus, Fangyin Wei +8
Conventional sensor systems record information about directly visible objects, whereas occluded scene components are considered lost in the measurement process. Non-line-of-sight (…
Uncertainty Estimation in One-Stage Object Detection
Florian Kraus, Klaus Dietmayer
Environment perception is the task for intelligent vehicles on which all subsequent steps rely. A key part of perception is to safely detect other road users such as vehicles, pede…