7 papers
SFG-ROS: A Resource-Aware Framework for Dense Multi-Agent Perception
Constantin Blessing, Elias Geiger, Jakob Häringer +2
Deploying heterogeneous multi-agent robot fleets for collaborative perception requires robust data exchange and scalable software architectures. However, standard ROS 2 implementat…
ARETE: Attention-based Rasterized Encoding for Topology Estimation using HSV-transformed Crowdsourced Vehicle Fleet Data
Daniel Fritz, Dimitrios Lagamtzis, Michael Mink +2
The continuous advancement of autonomous driving (AD) introduces challenges across multiple disciplines to ensure safe and efficient driving. One such challenge is the generation o…
Tiny Neural Networks for Multi-Object Tracking in a Modular Kalman Framework
Christian Alexander Holz, Christian Bader, Markus Enzweiler +1
We present a modular, production-ready approach that integrates compact Neural Network (NN) into a Kalmanfilter-based Multi-Object Tracking (MOT) pipeline. We design three tiny tas…
Neural Rendering for Sensor Adaptation in 3D Object Detection
Felix Embacher, David Holtz, Jonas Uhrig +2
Autonomous vehicles often have varying camera sensor setups, which is inevitable due to restricted placement options for different vehicle types. Training a perception model on one…
StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception
Marcel Vosshans, Omar Ait-Aider, Youcef Mezouar +1
This paper presents StixelNExT++, a novel approach to scene representation for monocular perception systems. Building on the established Stixel representation, our method infers 3D…
StixelNExT: Toward Monocular Low-Weight Perception for Object Segmentation and Free Space Detection
Marcel Vosshans, Omar Ait-Aider, Youcef Mezouar +1
In this work, we present a novel approach for general object segmentation from a monocular image, eliminating the need for manually labeled training data and enabling rapid, straig…