48 citations · 56 across the 5 of their papers we have counts for
5 papers
Simulating Road Spray Effects in Automotive Lidar Sensor Models
Clemens Linnhoff, Dominik Scheuble, Mario Bijelic +5
Modeling perception sensors is key for simulation based testing of automated driving functions. Beyond weather conditions themselves, sensors are also subjected to object dependent…
Behavior-Semantic Scenery Description (BSSD) of Road Networks for Automated Driving
Moritz Lippert, Felix Glatzki, Hermann Winner
The safety approval of Highly Automated Vehicles (HAV) is economically infeasible with current approaches. For verification and validation, it is essential to describe the intended…
A Taxonomy to Unify Fault Tolerance Regimes for Automotive Systems: Defining Fail-Operational, Fail-Degraded, and Fail-Safe
Torben Stolte, Stefan Ackermann, Robert Graubohm +4
This paper presents a taxonomy that allows defining the fault tolerance regimes fail-operational, fail-degraded, and fail-safe in the context of automotive systems. Fault tolerance…
A Track-Before-Detect Approach to Multi-Target Tracking on Automotive Radar Sensor Data
David Meister, Martin F. Holder, Hermann Winner
In recent years, Bayes filter methods in the labeled random finite set formulation have become increasingly powerful in the multi-target tracking domain. One of the latest outcomes…
Deep Stochastic Radar Models
Tim Allan Wheeler, Martin Holder, Hermann Winner +1
Accurate simulation and validation of advanced driver assistance systems requires accurate sensor models. Modeling automotive radar is complicated by effects such as multipath refl…