Ebru Subutay's Story
"The roadmap to 3D Computer Vision was amazing, and the offer was amazing. I already work on 70% of the topics inside the program but I have never seen a curriculum that would pack and order them that well, and throughout the way, the program it made me understand, fill the gaps in between and l learn some fundamentals that i was missing. I was already following the newsletters since the beginning of 2025, and as of you announced the 3DCV live program I was subscribed to the newsletter for 6-8 months and wanted to join a course from autonomous thinking and tbh I was working as a research assistant in the meanwhile.
I also asked my PI to get your lessons as I was convinced and i knew it would clearly set an order in my mind about CV topics that I was working on, and he said that the program is not looking, trustworthy enough! And after I decided to quit I wanted to take your course because I was sure that it would help me with my career. And I see that the program took me from a confused-knowledge salad brain state to a clear and capable engineer state! Thank you so much again!
Now I have better hands-on skills and a different perspective of thinking, instead of getting lost in the details, I see a bigger picture. I think things got interesting after week 5 :)
My favourite week were Week 5 and 6, because I really felt like I could build a project from beginning to the end. Week 6 was amazing because it required skills to use different platforms and merging all the different fundamental pillars was amazing.
Week 7 projects were the best, because I work on them the most :)
My Squad helped. Seeing them working that hard was pushing enough :)
It was an amazing experience overall, I wish we could keep the squad and members or somehow a communication channel with you and them. As last words, thank you so much for offering to share these amazing knowledge you gathered within years. Best!
MEET THE HEROES WHO MADE IT TO...
THE wall of edgeneers 🏔️
Welcome to the Wall, possibly the craziest page of Think Autonomous.
Every month, the Wall features edgeneers (cutting-edge engineers) who used our content to achieve achieves exceptional results. Learn how engineers from over the world build breakthrough applications of autonomous robotics using the most advanced material available, get jobs, raise their salary, status, and transform lives through Think Autonomous.
February 2026 Wall
They Graduated from the infamous
3D Computer Vision Live Program 🎓
This January, we graduated the first batch of students that completed the 3D Computer Vision Live Program. They started in September with the objective of getting familiar with 3D Computer Vision. Some of them ended up creating incredible capstone projects, as you will see. We at Think Autonomous testify that these engineers have employable 3D Computer Vision skills, and that they are worth your screen time.
Michael Buyer
🏆 3D Computer Vision Live Award: Squad Leader 🏆
GAUSSIAN SPLATTING
With an incredible tenacity, Michael has been the undisputed Squad Leader during this program. Not only he completed everything in time, he also did the extra 10% all the time. You can discover it in his final project, where he takes his learning to the next level by implementing the infamous Driving In Gaussians algorithm.
From his review: "PyCOLMAP facilitated SfM in three steps: feature extraction, feature matching, and incremental mapping 3D Gaussian splatting (3DGS) uses the sparse point cloud to initialize centers of Gaussians and fill surrounding space with such ellipsoids that should match image colors at certain viewpoints. Finally, OpenSplat or any 3DGS algorithm will be differentiable, allowing for Gaussians' properties such as scale and rotation to be refined with backpropagation."
I gained greater accountability and greater tasks than the courses.
Learning about article writing and sharing video of results in the squad made this journey more valuable than tackling LiDAR or tracking by myself.
Robert Gruberski
🏆 3D Computer Vision Live Award: Graduate #1 🏆
BEV SEGMENTATION
Robert graduated #1 from the 3D Computer Vision Live Program. An incredible achievement! In his capstone project, Robert is turning drivable area segmentation into a Bird Eye View occupancy mask.
Robert adds: "In the project I made, the data was manually captured with the quadruped robot (robotic dog) and the payload I made especially for this project. I will continue to work on it, to make it complete, and to make the robotic dog operate autonomously."
Here is his project in action:
I gained a lot of knowledge and new skills that I can and will use in practice. My favourite week and projects were BEV 🙂 it's sexy.
It was a great experience and adventure. I think I could repeat it 😉
David Lockett
🏆 3D Computer Vision Live Award: Most research oriented project 🏆
BIRD EYE VIEW
In his capstone project, David experimented with Bird Eye View at the research level. In the program, we learn about Bird Eye View estimation, and this technique David worked on called Lift Splat Shoot. It's a technique all Perception Researchers working on Bird Eye View know that pushes CNN features to 3D.
David decided to reimplement this technique with depth estimation approaches based on Stereo Vision instead.
It's very research-like, and here is the video:
Closer to the end, I got more comfortable with the subjects, and the math and tasks. Still, my favourite weeks were the earlier weeks that had less assignment requirements / less load. To me, posting a video on linked in was the best project part - never done that before or understood the benefit, i.e. a stronger employment position.
Finally, the way the squad helped was because it's harder to do these papers by yourself, the group works together to complete tasks and meet deadlines, it helps to see a student demo if one is lagging behind, they can ask a relevant question of the tutor that answers a group question."
Ebru Subutay
🏆 3D Computer Vision Live Award: Most eager to learn student 🏆
VISUAL FUSION
In the 3D Computer Vision Live Program, Ebru has built incredible projects. Yet, what stood out to me was how she has been at 100% everywhere. She has built an article writing strategy, worked tirelessly on projects, and attended the live events with the same energy!
In her Visual Fusion project, she decided to build a pipeline to make Stereo Vision reach LiDAR accuracy, by using several approaches, from classical to Deep Learning based Depth Estimators, to fusing with Segmentation and Object.
The roadmap to 3D Computer Vision presented in the webinar was amazing, and the offer was amazing. I already work on 70% of the topics inside the program but I have never seen a curriculum that would pack and order them that well.
Throughout the way, the program it made me understand, fill the gaps in between and l learn some fundamentals that I was missing.
I was already following the newsletters since the beginning of 2025, and as of you announced the 3DCV live program I was subscribed to the newsletter for 6-8 months and wanted to join a course from Think Autonomous and tbh I was working as a research assistant in the meanwhile... I also asked my PI to get your lessons as I was convinced and I knew it would clearly set an order in my mind about CV topics that I was working on, and he said that the program is not looking, trustworthy enough! [what a shame 🙄]
I decided to quit. I wanted to take your course because I was sure that it would help me with my career. And I see that the program took me from a confused-knowledge salad brain state to a clear and capable engineer state! Thank you so much again!
Now I have better hands-on skills and a different perspective of thinking, instead of getting lost in the details, I see a bigger picture. I think things got interesting after week 5 (3D Reconstruction) 🙂 which was my favourite week with 6 (Visual SLAM). I really felt like I could build a project from beginning to the end. Visual SLAM was amazing because it required skills to use different platforms and merging all the different fundamental pillars was amazing.
During this experience, my Squad helped. Seeing them working that hard was pushing enough :)
It was an amazing experience overall, I wish we could keep the squad and members or somehow a communication channel with you and them. As last words, thank you so much for offering to share these amazing knowledge you gathered within years!
Vikram Hegde
🏆 3D Computer Vision Live Award: Most Tenacious 🏆
3D RECONSTRUCTION
Vikram has been the student who, even though working long hours in his job, has applied the "Never Give Up" principle. While many think discipline means being 100% all the time, Vikram understood that it was a long term game.
During the early weeks of his experience, he worked with camera calibration, and noticed how a perfect calibration could lead to a very good 3D Reconstruction. The link between back & front 3D Computer Vision was made.
I view this course only as my beginning in 3D computer vision and I intend to go much deeper in the subject and hope to make you proud as a student in your class.
I will deeply cherish my time in class and what stood out to me about this class was your love and dedication for this subject and more importantly your desire to make us succeed - you pushed us to complete the course and that in my opinion makes you a great teacher. Thanks again.
Jose Manuel Sanchez
🏆 3D Computer Vision Live Program: Squad Leader 🏆
3D SEGMENTATION
To me, JM has been synonym with leadership. With an incredible dedication to the 3D field, JM has been LEADING his squad by engaging and being present, every single week.
In his capstone project, he combined segmentation with 3D Reconstruction to create a painted 3D point cloud. This technique, also known in research as point painting, is pretty interesting.
One of the reasons to join was to have some portfolio projects that are worth it. I think that, at the very least, I’ve now made up my mind about how to build them.
I’d say maybe the best parts were calibration, multi-view reconstruction and Visual Fusion. The reason is that I think they were the weeks I learned more. It was helpful and inspiring when you share the work from other in the live workshops."
Shashank Sharma
🏆 3D Computer Vision Live Program: Most engaged student 🏆
DEPTH ESTIMATION
Shashank has not only filled every single quiz, assignment, and project of the program, he has also attended every live event we organized, and was one of the most active participant in each!
In his capstone project, he experimented with multiple Depth Estimation algorithms to try and understand why was producing the best reconstruction. He discovered that Stereo depth estimation techniques using Deep Learning outperform both traditional stereo vision, and monocular deep learning estimators.
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