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cs.RO2025

A Chefs KISS -- Utilizing semantic information in both ICP and SLAM framework

Sven Ochs, Marc Heinrich, Philip Schörner +2

For utilizing autonomous vehicle in urban areas a reliable localization is needed. Especially when HD maps are used, a precise and repeatable method has to be chosen. Therefore acc…

cs.RO2024

Modular Fault Diagnosis Framework for Complex Autonomous Driving Systems

Stefan Orf, Sven Ochs, Jens Doll +4

Fault diagnosis is crucial for complex autonomous mobile systems, especially for modern-day autonomous driving (AD). Different actors, numerous use cases, and complex heterogeneous…

cs.RO2024

CoCar NextGen: a Multi-Purpose Platform for Connected Autonomous Driving Research

Marc Heinrich, Maximilian Zipfl, Marc Uecker +9

Real world testing is of vital importance to the success of automated driving. While many players in the business design purpose build testing vehicles, we designed and build a mod…

cs.RO2024

One Stack to Rule them All: To Drive Automated Vehicles, and Reach for the 4th level

Sven Ochs, Jens Doll, Daniel Grimm +15

Most automated driving functions are designed for a specific task or vehicle. Most often, the underlying architecture is fixed to specific algorithms to increase performance. There…

cs.RO2024

Leveraging Swarm Intelligence to Drive Autonomously: A Particle Swarm Optimization based Approach to Motion Planning

Sven Ochs, Jens Doll, Marc Heinrich +4

Motion planning is an essential part of autonomous mobile platforms. A good pipeline should be modular enough to handle different vehicles, environments, and perception modules. Th…