Chris Campbell

Metashape's spherical SfM is truly amazing.😀 It's fast, robust, easy, and much more efficient than using free software. #Metashape #3DGS

「風で揺れる」3DGSの樹木。 リアルタイムに視点変更できるインタラクティブ表現。 Splatの分布密度から樹形を解析し、自動リギングでボーンを生成。さらに、各ボーン周辺のSplatを自動スキニング、風向・風速に応じた揺れを再現。 WebGPU対応により、性能もかなり出せるようになってきました。

Token burn mechanism the endgame for sustainable web3 project. Every institution will embrace revenue → buyback → burn because it’s the only model that actually aligns with real demand🔥

“Hey Mercedes, why is the Transamerica Pyramid shaped like that?” 🏙️ NVIDIA Alpamayo in-car reasoning allows you to ask questions about your surroundings, hear the car verbalize its driving decisions, and request natural actions like changing lanes or taking a detour. 📺 Watch the video: nvda.ws/4d6uQmV

The GeoAI Python package now supports object detection using pre-trained models from the GeoDeep libarary (github.com/uav4geo/GeoDeep). The supported object types include cars, trees, birds, planes, aerovision, utilities, buildings, and roads. Try it out: GitHub: github.com/opengeos/geoai Notebook example: opengeoai.org/examples/geode… #geospatial #geoai #opensource #python

大阪市中央公会堂を #PIX4Dcatch を使って #3DGS スキャン。 12MPxモードで遠目から全体を一周し、通常1kモードで細部をスキャンしました。 ドローン空撮で屋根も撮れたら最強ですよね。 最新のPIX4Dmaticベータ版では3DGSができるようになったので、今後複数の3DGSが結合できる機能に期待します！！

This is not a demo. We're building autonomous delivery logistics in the real world. This is just scratching the surface on the autonomy problems that lie ahead. If you're interested to work at the frontier of autonomy, we'd love to hear from you

POV: you’re a delivery robot navigating the real world 🤖 We’ll call it Dot. Real streets. Real traffic. Real decisions happening in milliseconds. Dot’s autonomy stack was designed for real-world uncertainty. This is DoorDash Labs autonomy in action.

🤖 Robots Need Maps as Real as the World At GeoBuiz Summit, CTO Brian McClendon explored how Niantic Spatial is building a Large Geospatial Model of the world — and why VPS-based localization is critical for robots to navigate, understand, and interact with real environments. Learn more: hubs.ly/Q048xTcQ0 #NianticSpatial #VPS #GeoBuiz #GEOINT #GeospatialAI #AI #Robotics #LLMtoLGM

Lucid has the biggest cost advantage of all EV manufacturers: efficiency This means they need a smaller battery, which is the most expensive part Robotaxi and OEM tech licensing partners value this advantage to the skies The EV transition will pull partnerships in like a magnet

Introducing Alpamayo 1.5. Based on community feedback, we’ve updated our 10B-parameter chain-of-thought reasoning VLA model to be a more interactive and steerable engine for autonomous vehicle development. Built on the Cosmos-Reason2 VLM backbone, this release adds support for navigation guidance and flexible camera configurations while providing new post-training scripts for model adaptation. 🤗 Learn more: nvda.ws/4bRC7Vj

Do you have a flying security camera? Do you want one? Flying security camera on @Kickstarter 👇 geo-swarm.kckb.me/jkm ☝️ With a USA-made @HyfixAI Drone chip Campaign ends 11 April Get in now to save Hundreds Compared to when it sells publicly Let's get it to 100 backers!

Zero-shot testing in Tokyo shows a clear performance leap from v1.0 to v1.5. With additional fine-tuning, it can improve even further.

Pony AI has delivered its first profitable quarter ever bloomberg.com/news/articles/…

Nuro ,lucid and Uber Robotaxi spotted yesterday

🚗Pony.ai, Verne and @Uber partner to launch Europe’s first commercial #robotaxi service. The partnership will soon begin in Zagreb, before expanding to additional cities in Europe and beyond. Initial deployment work already underway, including public-road validation. More: blog.pony.ai/verne-pony-ai-…

At GTC, @NVIDIAAIDev announced general availability for NuRec, their library for gaussian splatting (uses 3DGUT) for Physical AI. It's now available through @NVIDIAAI NGC Catalog Article: radiancefields.com/nvidia-omniver… Access: catalog.ngc.nvidia.com/orgs/nvidia/te…

Nuro co-founder and co-CEO @dfergusonnz sat down with @SoftBank Investment Advisers to talk about the road to autonomy, building through pivots, and why safety remains the north star at Nuro. Read the full interview for more on physical AI, resilience, and the future of self-driving: visionfund.com/insights/dave-… #autonomousvehicles #selfdriving #drivenbynuro

The US numbered highway system in numerical order

Waymo CEO Dmitri Dolgov explains the benefits of lidar, radar, and cameras for self driving: "They're very complementary." "The frequencies are very different. Laser gives you very high resolution. Think of it as a laser beam that goes out, spins around, and shoots out millions of these laser pulses per second. Then each one comes back and you can sample the 3D structure of the world with very high resolution." "Radar has much lower resolution, but because of the physics of it, it degrades much better in adverse weather conditions. So—fog, snow, heavy rain." "If it's a nice, bright, sunny day, cameras are very valuable. If it's pitch dark, or you have the sun in your face, or you're blinded by the headlights from an oncoming car, then the camera will degrade." "It's a combination of the sensors. Each one is noisy. How the noise characteristics show up in different environments is different, but it's not like we switch from one to another." "They all go into the system that gives you, jointly, the best view of what's happening in the world." @dmitri_dolgov with @collision