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Reaching Out Towards Fully Verified Autonomous Systems

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Résumé

Autonomous systems such as “self-driving” vehicles and closed-loop medical devices increasingly rely on learning-enabled components such as neural networks to perform safety critical perception and control tasks. As a result, the problem of verifying that these systems operate correctly is of the utmost importance. We will briefly examine the role of neural networks in the design and implementation of autonomous systems, and how various verification approaches can contribute towards engineering verified autonomous systems. In doing so, we examine promising initial solutions that have been proposed over the past three years and the big challenges that remain to be tackled.

langue originaleAnglais
titreReachability Problems - 13th International Conference, RP 2019, Proceedings
rédacteurs en chefEmmanuel Filiot, Raphaël Jungers, Igor Potapov
EditeurSpringer Verlag
Pages22-32
Nombre de pages11
ISBN (imprimé)9783030308056
Les DOIs
étatPublié - 1 janv. 2019
Evénement13th International Conference on Reachability Problems, RP 2019 - Brussels, Belgique
Durée: 11 sept. 201913 sept. 2019

Série de publications

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11674 LNCS
ISSN (imprimé)0302-9743
ISSN (Electronique)1611-3349

Une conférence

Une conférence13th International Conference on Reachability Problems, RP 2019
Pays/TerritoireBelgique
La villeBrussels
période11/09/1913/09/19

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