#PRISM1 allows us to reconstruct scenes with dynamic and deformable objects, like brake lights. This safety-critical signal is an example of the kind of detail necessary to ensure these scene reconstructions are fit-for-purpose for training and evaluating an autonomous driver. Learn more: https://lnkd.in/esybvhvm
About us
We're Wayve, a leading developer of embodied intelligence for autonomous vehicles. We use AI to pioneer a next-generation approach to self-driving: AV2.0, which enables fleet operators to unlock the benefits of AV technology at scale. Founded in 2017, Wayve is made up of a diverse team of experts in machine learning and robotics. We were the first to deploy AVs on public roads with end-to-end deep learning. Today, our teams are based in London and California, and we're testing AVs in cities across the UK. Inspired by our vision for a smarter, safer, more sustainable world, we're looking for people who are passionate about building breakthrough solutions to some of the world’s most important challenges. If you're looking for an exciting opportunity with a dynamic team, get in touch!
- Website
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https://wayve.ai
External link for Wayve
- Industry
- Software Development
- Company size
- 201-500 employees
- Headquarters
- London, United Kingdom
- Type
- Privately Held
Locations
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Primary
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London, United Kingdom, GB
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709 N Shoreline Blvd
Mountain View, California 94043, US
Employees at Wayve
Updates
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Wayve reposted this
I'm hiring an ML Engineering Manager for our Mountain View team! This an ML team focused on developing our E2E driving model. The team has grown from 0->6 already and now we need a leader to continue this growth going forward. Wayve has had a great 2024 so far including raising $1B in capital and having a huge presence at CVPR. It's an exciting time to be riding the Wayve :) Please apply at the link below if you're interested: https://lnkd.in/gsbH_siJ #hiring #ai #autonomousvehicles #engineeringmanagers
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Country roads, take us home 🛣️ Check out this clip from a recent drive on a particularly busy and narrow rural road, where you can see the Wayve AI Driver adapt to the etiquette of country-lane driving. #RideTheWayve #SelfDriving #AutonomousVehicles
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ICYMI: last week we launched a 4D scene reconstruction model, #PRISM1 🔺 PRISM-1 allows you to explore a scene from a fresh perspective and gives you complete control over the scene. The level of detail PRISM-1 offers is critical to testing and training our #SelfDriving AI at scale. Learn more: https://lnkd.in/esybvhvm #EmbodiedAI #AutonomousVehicles
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🥇Excited to share that Wayve’s Katrin Renz and the wider Wayve #LINGO team won this year’s CARLA challenge at #CVPR2024 across both performance and innovation with CarLLaVA: Vision language models for camera-only closed-loop driving. 📜Read the paper https://lnkd.in/ekSSpeG3 🏁See the challenge results https://lnkd.in/dvDraz6c #AutonomousVehicles #SelfDriving #EmbodiedAI
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If you were excited by #PRISM1, then delve into the dataset used to train this model 👀 WayveScenes101 is our benchmark dataset that aims to support the advancement of state-of-the-art novel view synthesis models & scene representation models for driving 🚘 https://lnkd.in/exYQaFBC
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Recording or reconstruction? 🤔 Uncover the innovative techniques the team behind #PRISM1 have used to create this 4D scene reconstruction of a busy London road. More details on Wayve’s workshop at #CVPR2024 today here: https://lnkd.in/gKTBgnCd #EmbodiedAI #SelfDriving #AutonomousVehicles
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The recipe for realism in a 4D reconstruction model: 👱Low maintenance - PRISM-1 separates static and dynamic elements within a scene in a self-supervised way 🖼️Flexibility- PRISM-1 handles numerous agents and elements from pedestrians walking to vehicle doors opening 📈Scale- PRISM-1 remains efficient, even as scene complexity escalates. Read more about #PRISM1 here: https://lnkd.in/esybvhvm #EmbodiedAI #SelfDriving #AutonomousVehicles
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❌No LiDAR ❌No 3D bounding boxes ✅This 4D reconstruction was based on camera inputs only The precision of #PRISM1 can be seen through the accurate representations of real-world scenes including the output depth and 3D velocity magnitude. #PRISM1 #EmbodiedAI #SelfDriving #AutonomousVehicles