Sergio Casas

Foundation models for self-driving @Waymo. Previously @Waabi_ai and @Uber ATG. 🚗 🚚 🤖 ✨

[Sergio Casas @sergioksas]

And similarly for inference-time scaling

[Sergio Casas @sergioksas]

Check out the scaling laws for motion forecasting and planning that my team has just released 🚀

Paper: https://t.co/S5NbrXdlLc

[Waymo @Waymo]

Our research is driving the #AutonomousVehicle industry forward. 🚘➡️ We’ve found that #AI scaling laws hold true in AV software and real-world performance can be improved by increasing training data and compute. Take a deeper dive: https://t.co/ljFKVnTqSh

[Sergio Casas @sergioksas]

Visually, we see a much more realistic coverage of the possible futures when scaling up the model size / training flops

[Waabi @Waabi_ai]

Headed to @CVPR?

Join our full day tutorial titled, “All You Need to Know About Self-Driving,” on Tues, June 18 at 9am in room Summit 445. We’ll also present our paper, UnO: Unsupervised Occupancy Fields for Perception and Forecasting, on Thurs, June 20!

https://t.co/zmbZXEe5l1

[Sergio Casas @sergioksas]

Introducing our Occupancy Foundation Model, UnO! 🪄🧙‍♂️

Simple, fast, and it works like a charm to perceive and forecast any object out there!

Check it out https://t.co/nX8MGk0CzF

[Ben Agro @BenAgro4]

How can we make self-driving systems robust to out of distribution scenarios? We investigate this in our #CVPR2024 paper "UnO: Unsupervised Occupancy Fields for Perception and Forecasting".
Website: https://t.co/95tT3iMy1a
ArXiv: https://t.co/p6roKRRo0G

[Lunjun Zhang @LunjunZhang]

Excited to share a new foundation model for self-driving, Copilot4D.
Paper: "Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion", accepted to #ICLR2024
Arxiv: https://t.co/CRkK2FSMXG
Blog: https://t.co/BpjYDmVZJg
Video: https://t.co/V4h4tDSlX9

[Waabi @Waabi_ai]

Today, we are excited to unveil our latest research, Copilot4D: the first foundation model that explicitly reasons in both 3D space and time.

Read more about this breakthrough in AI for the physical world in our blog: https://t.co/WWY4NvEq6t

[Joyce Yang @ajyang99]

How can we generate high-quality auto-labels for self-driving LiDAR data without a human in the loop? 🚗
Check our @corl_conf paper LabelFormer, a simple, efficient, effective transformer-based model to refine object trajectories for auto-labelling.
More: https://t.co/U9e4KlTGZR

[Sergio Casas @sergioksas]

Check out this thread from my colleague @BenAgro4 to learn more about our exciting work on implicit occupancy flow fields for self-driving!

Fantastic work with @BenAgro4 @QuinlanSykora and @RaquelUrtasun that will appear as a highlight in #CVPR2023

https://t.co/c3KLRlhMs4

[Ben Agro @BenAgro4]

How can we design more expressive perception and motion-forecasting systems for self-driving? In our paper "ImplicitO: Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving" #CVPR2023, we introduce ImplicitO - https://t.co/CU0b88muwl

[Ben Agro @BenAgro4]

How can we design more expressive perception and motion-forecasting systems for self-driving? In our paper "ImplicitO: Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving" #CVPR2023, we introduce ImplicitO - https://t.co/CU0b88muwl

[Lunjun Zhang @LunjunZhang]

How can we train an unsupervised object detector from raw sequences of point clouds in self-driving scenes, without any human labels?
In our paper “Towards Unsupervised Object Detection from LiDAR Point Clouds” #CVPR2023 , we introduce OYSTER - https://t.co/NWPpJd7IAC

[Sergio Casas @sergioksas]

We now have a website for the amazing research our team has been doing at @Waabi_ai!

https://t.co/HCI4ex60WF

[Waabi @Waabi_ai]

Innovation and purposeful research are core to our company. We’re excited to unveil Waabi’s Research Hub, a repository for us to share our research and breakthroughs. Learn more here: https://t.co/pwr1gDIPXG

[Sergio Casas @sergioksas]

Joint work with @alexcdot, @thekelvinwong, @disiok and @RaquelUrtasun!

[Sergio Casas @sergioksas]

Had a great time presenting our work at ICRA today!

If you are interested in knowing more about GoRela, happy to see you at our poster session this afternoon (15:00 - 16:40, Pod 36).

Arxiv link: https://t.co/TbUfniMz7Y

[Waabi @Waabi_ai]

We’re excited to join the International Conference on Robotics and Automation (ICRA) this week! Our research team will be presenting two papers, including a paper nominated for an Outstanding Best Paper award. Check out the finalists for the award here: https://t.co/DBd1TYvdTg

[TechCrunch @TechCrunch]

Self-driving truck startup Waabi brings on Volvo VC as strategic investor https://t.co/Yn4PbnwSmV by @rebeccabellan