output
20162023
most citedSearch-based optimal motion planning for automated driving

86 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2023Show all

5 papers · 1 filter

cs.RO2023

Reinforcement learning for safety-critical control of an automated vehicle

Florian Thaler, Franz Rammerstorfer, Jon Ander Gomez +3

We present our approach for the development, validation and deployment of a data-driven decision-making function for the automated control of a vehicle. The decisionmaking function…

cs.RO2023★ 4 cited

A Multi-Heuristic Search-based Motion Planning for Automated Parking

Bhargav Adabala, Zlatan Ajanović

In unstructured environments like parking lots or construction sites, due to the large search-space and kinodynamic constraints of the vehicle, it is challenging to achieve real-ti…

cs.SE2023★ 6 cited

Triggering Conditions Analysis and Use Case for Validation of ADAS/ADS Functions

Víctor J. Expósito Jiménez, Helmut Martin, Christian Schwarzl +2

Safety in the automotive domain is a well-known topic, which has been in constant development in the past years. The complexity of new systems that add more advanced components in…

cs.SE2023★ 5 cited

State of the Art Study of the Safety Argumentation Frameworks for Automated Driving System Safety

Ilona Cieslik, Víctor J. Expósito Jiménez, Helmut Martin +2

The automotive industry is experiencing a transition from assisted to highly automated driving. New concepts for validation of Automated Driving System (ADS) include amongst other…

cs.RO2023★ 18 cited

Search-Based Task and Motion Planning for Hybrid Systems: Agile Autonomous Vehicles

Zlatan Ajanović, Enrico Regolin, Barys Shyrokau +3

To achieve optimal robot behavior in dynamic scenarios we need to consider complex dynamics in a predictive manner. In the vehicle dynamics community, it is well know that to achie…