1/ Why has Autonomous Driving (AD) failed? We believe that the key to unlocking AD may be in 1) collecting rich out-of-distribution data from emerging economies such as #Peru; and 2) developing brain-aligned computer vision models #NeuroAI https://t.co/jtWqX0pYJO

Stay tuned! This is how our #MappingVehicle a.k.a. the "ArtiMovil"can be spotted in the streets of Lima (from our early testing in Miraflores) -- integrating @MultiPacha LIDAR stream + our Drone&DashCam data as we work towards completing the map of Barranco this month!

🇵🇪 Mapping Barranco: [ 🟩🟩🟩🟥🟨⬜⬜⬜⬜⬜ ] (~30%): Here we show a second iteration of a sparse point-cloud computed from a medium set of drone flights (Trajectories shown in Red). Noticeable are the #PlazadeArmas (completed), the neighborhood between Av San Martin and Av Grau

🇵🇪 Mapping Barranco: [ 🟩🟨🟨⬜⬜⬜⬜⬜⬜⬜ ] (~10%): Here we show a first iteration of a sparse point-cloud computed from a small number of drone flights (Trajectories shown in Red) of the Main Square "The Plaza de Armas" with 'Av. Bolognesi' & 'Av. San Martin'. Using

¿Y si los vehículos autónomos realmente tuvieran que entrenarse en Lima antes de salir al mundo? ¿Caos funcional? Conversé con Arturo Deza, CEO y cofundador de Artificio, sobre este tema en mi podcast overFLOW YouTube https://t.co/TQyOiHsQCn Spotify https://t.co/NqBnH6FkGp

🐦‍⬛ Colibri-1 has arrived! The new member of the Artificio family that will integrate the mapping of #Barranco through aerial footage coupled with our #dashcam and #LIDAR network of mapping vehicles. More updates and videos coming soon! 👁️

👀 "Who's that Pokemon?" Spotted in NYC 🇺🇸 , an undisclosed company getting LIDAR mapping data around Times Square 🫡 from my visit on Saturday! At @Artificio_Org we wrote a Blog Post 1 month ago about the Out-of-Distribution (#OOD) similarities NYC has to Lima and predicting the

👁️ Synchronization test #1 : Video+LIDAR integration in #Miraflores; Lima, Peru 🇵🇪. Object Detection+Classification, Surface Normal Estimation, Depth Estimation & 3D Point Cloud. This clip shows an integration of both our tech stack with @MultiPacha from our first mapping session

Amazing talk by @ArtDeza on the work his self-driving company @Artificio_Org is doing on Vision-Language models vs humans Check out the paper: https://t.co/njMgDdpscf

Find out more about who we are, and what we are doing in Lima, Peru 🇵🇪-- and our approach to make Autonomous Driving a reality everywhere in the World 🌎 in this @NPR audio release by @SimeonTegel

4/ Read more about what we're doing and our latest research & cross-country generalization here:

3/ In time, this will accelerate the deployment of autonomous technologies across #LatinAmerica, while evaluating Al models developed globally in complex real-world environments.

2/ With their LIDAR and our Camera technology in a joint OpenSource effort, this is the first step toward building a high-fidelity 3D digital twin of the area, which will serve later as a platform to benchmark and validate autonomous vehicle systems.

1/ We are excited to announce our new partnership with MiningTech startup MultiPacha 4.0 (MultiPerception AI) to begin 3D mapping the district of #Barranco in Lima, Peru. 🇵🇪

10/ This work was lead by @darofex @dunantCR @vfloresb21 @ArtDeza

9/ Read our latest Blog post here:

8/ Will global leaders like Waymo, Wayve, WeRide or NVIDIA seize this opportunity, or will local innovators rise to the challenge? [Here's a modified Audi Add from the 90's conceptually expanding on this idea]

7/ Our goal is to build a Latin American dataset that rivals those from San Francisco, London or Tokyo with thousands of hours of annotated data ready to be used for the next generation of Autonomous driving systems.

6/ What are we building at #Artificio? We are collecting real world driving data, including GPS, IMU and soon LiDAR, while segmenting and analyzing it with VLMs across Lima & New York and soon, Miami + Boston.

5/ At Artificio we are building the Data infrastructure that powers the Autonomous Driving systems of tomorrow capturing the complexity, unpredictability and richness of the real world. Here's an example of *real* scene captured in Barranco, Lima, Peru. Did you see it coming?

4/🧐 Data is the new mineral and, in the context of Autonomous Vehicles, extracting and cross-correlating real data from chaotic cities is akin to a modern day gold rush fueling & testing the AI systems behind AV that will shape the future of mobility.