4 citations · 4 across the 1 of their papers we have counts for
4 papers
Extended Existence Probability Using Digital Maps for Object Verification
Fabian Gies, Joachim Posselt, Michael Buchholz +1
A main task for automated vehicles is an accurate and robust environment perception. Especially, an error-free detection and modeling of other traffic participants is of great impo…
Environment Perception Framework Fusing Multi-Object Tracking, Dynamic Occupancy Grid Maps and Digital Maps
Fabian Gies, Andreas Danzer, Klaus Dietmayer
Autonomously driving vehicles require a complete and robust perception of the local environment. A main challenge is to perceive any other road users, where multi-object tracking o…
Multi-Object Tracking with Interacting Vehicles and Road Map Information
Andreas Danzer, Fabian Gies, Klaus Dietmayer
In many applications, tracking of multiple objects is crucial for a perception of the current environment. Most of the present multi-object tracking algorithms assume that objects…
Offline Object Extraction from Dynamic Occupancy Grid Map Sequences
Daniel Stumper, Fabian Gies, Stefan Hoermann +1
A dynamic occupancy grid map (DOGMa) allows a fast, robust, and complete environment representation for automated vehicles. Dynamic objects in a DOGMa, however, are commonly repres…