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The BRAVO workshop presents a unique opportunity for researchers, industry experts, and policymakers to come together and address the critical challenge of trustworthy validation for autonomous vehicle systems on open roads.

The advances in artificial intelligence and computer vision propel the rise of highly automated ADAS and AVs, with the potential to revolutionize transportation and mobility services. However, deploying data-driven safety-critical systems with limited onboard resources and enduring guarantees on open roads remains a significant challenge.

To ensure safe deployment, ADAS/AVs must demonstrate the ability to navigate a wide range of driving conditions, including rare and dangerous situations, severe perturbations, and even adversarial attacks. Additionally, those capabilities must be ascertained to regulatory bodies, to secure certification, and to users, to earn their confidence.

The BRAVO workshop seeks to foster collaboration and innovation in developing tools and testbeds for assessing and enhancing the robustness, generalization power, transparency, and verification of computer vision models for ADAS/AVs. By working together, we can contribute to a safer, more efficient, and sustainable future for transportation.

We invite you to join us at the BRAVO workshop to explore solutions and contribute to developing reliable, robust computer vision for autonomous vehicles. Together, we can shape the future of transportation, ensuring safety and efficiency for all road users.

Keynote Speakers

Tentative Program

All quoted times refer to CEST.


08:50 - 09:00
Opening Remarks
by TBD
09:00 - 09:45
Invited Talk 1
by TBD
09:45 - 10:30
Invited Talk 2
by TBD
10:30 - 10:45
Coffee Break
10:45 - 11:30
Invited Talk 3
by TBD
11:30 - 12:15
Invited Talk 4
by TBD


13:30 - 14:15
Oral Presentations
14:15 - 15:30
Coffee Break and Poster Session
15:30 - 16:15
Invited Talk 5
by TBD
16:15 - 17:00
Invited Talk 6
by TBD
17:00 - 17:45
Panel Discussion + QA

Call for Contributions

We invite participants to submit their work to the BRAVO Workshop as full papers or extended abstracts.

Full-Paper Submissions

Full papers must present original research, not published elsewhere, and follow the ICCV main conference format with a length of 4-8 pages. Supplemental materials are not allowed. Accepted full papers will be included in the conference proceedings.

Extended Abstract Submissions

We welcome extended abstracts, which may serve works of a more speculative or preliminary nature that may not be fit for a full-length paper. Authors are also welcome to submit extended abstracts for previously or concomitantly published works that could foster the workshop objectives.

Extended abstracts must have no more than 1000 words, in addition to a single illustration and references. We suggest authors use the extended abstract template provided.

Accepted extended abstracts will be presented without inclusion in the proceedings.

Topics of Interest

The workshop welcomes submissions on all topics related to robustness, generalization, transparency, and verification of computer vision for autonomous driving systems. Topics of interest include but are not limited to:

  1. Robustness & Domain Generalization
  2. Domain Adaptation & Shift
  3. Long-tail Recognition
  4. Perception in Adverse Conditions
  5. Out-of-distribution Detection
  6. Applications of Uncertainty Quantification
  7. Monitoring, Failure Prediction & Anomaly Detection
  8. Confidence Calibration
  9. Image Enhancement Techniques

Important Dates

2023-07-19 Wed
Contributed submissions deadline
2023-08-02 Wed
Acceptance of contributions announced to authors
2023-08-08 Tue
Camera-ready submissions deadline
2023-10-03 Tue
Workshop day (full day)


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Original photo by Kai Gradert on Unsplash, modified to illustrate stable diffusion augmentations.