7 citations · 11 across the 5 of their papers we have counts for
5 papers
Learning-Based Behavior Planning for Automated Driving: Real-World Integration and Deployment
Jean-Pierre Busch, Guido Linden, Jan Bergmann +1
Recent research in machine and deep learning has shown the potential of learningbased motion planning approaches to improve the driving behavior of automated vehicles, especially i…
Cloud-Native Operation of Roadside Infrastructure Enabling Demand-Driven Collective Perception via V2X
Lukas Zanger, Fabian Thomsen, Guido Linden +3
Intelligent roadside infrastructure is a key enabler for cooperative intelligent transport systems (C-ITS), supporting vehicles equipped with automated driving systems (ADS), e.g.,…
karl. -- A Research Vehicle for Automated and Connected Driving
Jean-Pierre Busch, Lukas Ostendorf, Guido Linden +5
As highly automated driving is transitioning from single-vehicle closed-access testing to commercial deployments of public ride-hailing in selected areas (e.g., Waymo), automated d…
V2AIX: A Multi-Modal Real-World Dataset of ETSI ITS V2X Messages in Public Road Traffic
Guido Kueppers, Jean-Pierre Busch, Lennart Reiher +1
Connectivity is a main driver for the ongoing megatrend of automated mobility: future Cooperative Intelligent Transport Systems (C-ITS) will connect road vehicles, traffic signals,…
Enabling the Deployment of Any-Scale Robotic Applications in Microservice Architectures through Automated Containerization
Jean-Pierre Busch, Lennart Reiher, Lutz Eckstein
In an increasingly automated world -- from warehouse robots to self-driving cars -- streamlining the development and deployment process and operations of robotic applications becom…