I tried to live-tweet as much as possible from the talks.
For some, I had to multi-task with other duties and I did not get to do the coverage.
But every single talk was top notch without exceptions.
Kudos to our fantastic speakers!
#ssad2026

The two people who actually made this happen:
@pdillis.bsky.social and Gabriel Villalonga.
Months of work so that four days could look effortless. Thank you both 🙏
#ssad2026

🚗 SSAD 2026 is done!

Great talks, two packed poster sessions, and an incredible audience that kept asking questions well after the session should have ended.

Thank you to our speakers, our sponsors, and the 72 people who made it what it was. We had a blast!

#ssad2026

Closing remarks of #ssad2026 by @pdillis.bsky.social

Other stats from AV-Atlas:
- main cliques of collaborators
- per country publication stats
- where researchers are in their career in terms of years in.
Check it out! #ssad2026

In the end Holger presents AV-Atlas, a tool for scanning and connecting papers in autonomous driving.
A few interesting stats:
- ascending/descending topics
- areas of interest/non-interest for industry
- must read papers #ssad2026

A shout-out to the @kesai.eu team for the collaboration the py123d framework bridging essentially all public AD datasets #ssad2026

On to new datasets. Enter the KITScenes Multimodal dataset #ssad2026

Where to go next?
Is Computer Vision solved? People ask this all the time.
“AI is what does not work” (Dutch politician)
Well this is where research goes :) #ssad2026

Public accountability is lacking: unclear what info was given to authorities for FSD clearance in NL.
Then e2e limits accountability: now e can benchmark planning which needs 100M+ kms to be statistically significant #ssad2026

VLAs do not generalize: to new cameras, chain of thought explanations do not reflect the internal cause of the action #ssad2026

Diffusion does not generalize: at best synthetic data on point clouds leads to a boost of few percentage points #ssad2026

On with pessimism: public dataset are insufficient, open loop does not generalize, novel view synthesis does not generalize (on public dataset), end-to-end needs a babysitter #ssad2026

Let’s go to the pessimistic view: accidents on road, cameras are not enough, scaling is limited (under non-diverse data) #ssad2026

We start seeing explainability methods, encouraging scaling laws, extension of AD worldwide and Europe. This indeed the optimistic view :) #ssad2026

Next step is going to closed loop settings and this is where neural rendering strategies to produce realistic environments helped #ssad2026

Then we started to go further and look at planning. Lots of progress but mostly open loop #ssad2026

Setting the stage with the first narrative, the optimistic one.
We started with increasingly better perception oriented datasets that enhanced perception significantly #ssad2026

Participants of #ssad2026, but also folks following from home are invited to IV 2028 in Barcelona

Announcing the LAIA dataset: 15 hours of driving in CARLA with labelled human gaze arxiv.org/abs/2607.25570
#ssad2026