Future Mobility: Latest Advances in Automatic Driving
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".
Deadline for manuscript submissions: 30 August 2026 | Viewed by 190
Special Issue Editor
Special Issue Information
Dear Colleagues,
Recent breakthroughs in multimodal sensing, perception and planning networks, generative world models, and foundation-scale end-to-end netoworks are rapidly propelling the field toward safe, scalable autonomatic driving. This transformation brings fresh scientific and engineering challenges—from robust perception in long-tail conditions to human–machine cooperation, and from large-scale validation to sustainable deployment. To foster progress, this Special Issue offers a forum for new concepts, solid experimental results, and visionary perspectives spanning the complete automated-driving ecosystem.
Areas relevant to future automatic driving include, but are not limited to, advances in perception, prediction, planning, control, safety engineering, data-centric AI, and the socio-technical context in which automated vehicles will operate.
This Special Issue will publish high-quality, original research papers in the following overlapping fields:
- Pushing the perception frontier—BEV/OCC networks, multi-modal fusion, long-tail robustness.
- Advancing data-centric learning—end-to-end pipelines, Vision–Language–Action (VLA) driving models, generative world models, self-supervised and reinforcement learning.
- Innovating in prediction, planning, and control—deep planning networks, uncertainty-aware decision making, behavior generation under adversarial or rare scenarios.
- Leveraging connectivity and cooperation—V2X cooperative perception, swarm intelligence, edge/cloud co-computing.
- Guaranteeing safety and compliance—scenario-based and formal verification, functional safety and SOTIF methodologies, regulation (UNECE R157, ISO 26262).
Dr. Jianmin Ji
Guest Editor
Manuscript Submission Information
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Keywords
- autonomous driving
- sensor fusion
- BEV/OCC networks
- planning networks
- end-to-end networks
- world models
- VLA models
- scenario generation
- safety validation
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