Call for Papers

The LLVM-AD committee invites papers that will undergo the standard peer review process. We accept submissions through our CMT. If accepted, the workshop papers will be published in IEEE Xplore as WACV 2024 Workshop Proceedings (See previous WACV proceedings format here) and will be indexed separately from the main conference proceedings. The papers submitted to the workshop should follow the same formatting requirements as the main conference. Program topics include:

  • Vision-Language Models in Autonomous Systems

  • Large Language Models for Autonomous Driving Applications and Map Systems

  • Foundation Vision Models for Autonomous Driving

  • Generative AI for Autonomous Driving and Map Systems

  • Semantics and Scene Understanding in Autonomous Driving

  • Human-Vehicle Interaction

  • Domain Adaptation and Transfer Learning in Autonomous Driving

  • Safety in Autonomous Driving

  • Interpretable AI in Autonomous Driving

  • Trustworthy Autonomous Vehicles

LLVM-AD accepts both regular papers (6-8 pages) and demo papers (2-4 pages). The paper with the highest quality will receive the best paper award.

Long Papers: Manuscripts of upto 8 pages. Submissions are expected to follow the same guidelines as those for WACV’s main conference papers. The best paper elected by the committee will have the opportunity to receive outstanding paper award and $300 in recognition of their outstanding contributions.

Demo papers: Manuscripts of upto 4 pages. Demo papers should also include 1 additional page for references, maintaining the same formatting and guidelines. The main objective of these demo papers within the workshop is to foster the exchange of novel concepts and spotlight the practical utility of LLMs in the context of autonomous driving. Accepted demo papers will be included into the workshop proceedings. Authors of the most exceptional demo papers will have chance to be invited to Tencent Map T Lab for an official summer internship.