Obstacle Avoidance in Highly Automated Cars: Can Progressive Haptic Shared Control Make it Safer and Smoother?

Author:

Pano Beatrice1ORCID,Chevrel Philippe1ORCID,Claveau Fabien1ORCID,Sentouh Chouki2ORCID,Mars Franck3ORCID

Affiliation:

1. Laboratoire des Sciences du Numérique de Nantes (LS2N UMR CNRS 6004), IMT-Atlantique, Nantes, France

2. Laboratoire d’Automatique, de Mecanique et d’Informatique industrielles et Humaines (LAMIH UMR CNRS 8201), Université Polytechnique Hauts-de-France, Valenciennes, France

3. Laboratoire des Sciences du Numérique de Nantes (LS2N UMR CNRS 6004), CNRS & Centrale Nantes, Nantes, France

Funder

French ANR

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Signal Processing,Control and Systems Engineering,Human Factors and Ergonomics

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1. How to design driver takeover request in real-world scenarios: A systematic review;Transportation Research Part F: Traffic Psychology and Behaviour;2024-07

2. How to Design Human-Vehicle Cooperation for Automated Driving: A Review of Use Cases, Concepts, and Interfaces;Multimodal Technologies and Interaction;2024-02-26

3. Validation of Critical Maneuvers Based on Shared Control;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24

4. Fail-Safe Behavior and Motion Planning Incorporating Shared Control for Potential Driver Intervention;IEEE Transactions on Intelligent Vehicles;2023-07

5. A review of shared control in automated vehicles: System evaluation;Frontiers in Control Engineering;2023-02-03

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