Framework for motion prediction of vehicles in a simulation environment
![Thumbnail](/dspace/bitstream/handle/2183/23788/2019_Medina-Lee_Framework-motion-prediction-vehicles.pdf.jpg?sequence=5&isAllowed=y)
Use this link to cite
http://hdl.handle.net/2183/23788
Except where otherwise noted, this item's license is described as Atribución-NoComercial-CompartirIgual 4.0
Collections
- Jornadas de Automática (40ª. 2019. Ferrol) [114]
- OpenAIRE [341]
Metadata
Show full item recordTitle
Framework for motion prediction of vehicles in a simulation environmentDate
2019Citation
Medina Lee, J.F., Trentin, V., Villagra, J. (2019). Framework for motion prediction of vehicles in a simulation environment. En XL Jornadas de Automática: libro de actas, Ferrol, 4-6 de septiembre de 2019 (pp.520-527). DOI capítulo: https://doi.org/10.17979/spudc.9788497497169.520. DOI libro: https://doi.org/10.17979/spudc.9788497497169
Abstract
[Abstract] Efficient testing and validation of software components for highly automate vehicles is one of the key challenges to be solved for their massive deployment. The number of driving situation and environment variables makes validation almost intractable with real vehicles in open roads, and the testing reproducibility can only be achieved via simulation. This manuscript presents a framework and preliminary results for motion prediction of vehicles in a simulation environment that is being currently developed by the AUTOPIA Program.
Keywords
Driving corridors
Simulation environment
Autonomous vehicle
LCM
Motion prediction
Probabilistic reachable sets
Simulation environment
Autonomous vehicle
LCM
Motion prediction
Probabilistic reachable sets
Editor version
Rights
Atribución-NoComercial-CompartirIgual 4.0
ISBN
978-84-9749-716-9