27 citations · 55 across the 4 of their papers we have counts for
3 papers · 1 filter
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…