CARLA simulator

The CARLA team is excited to announce that CARLA version 0.10.0 with migration to Unreal Engine 5 is now released! UE 5's Lumen and Nanite technologies enable the use of highly detailed, high polygon count scenes with incredibly realistic lighting and reflections without sacrificing performance, enhancing CARLA's overall visual fidelity. To exploit the new rendering capabilities enabled by UE 5, release 0.10.0 comes with stunning new environments and assets including an upgraded Town 10, remodeled vehicles and an off-road, open-cast mining map from our partners Synkrotron. Check out the release notes to learn more about CARLA 0.10.0: https://lnkd.in/diZzUPJy Release 0.10.0 currently has a subset of the content and functionality of previous UE 4.26 versions. The CARLA team is working hard to migrate the remaining functionality and content into the new UE 5.5 version. Take a look at the release notes to find out what's different. We appreciate your patience as we continue to work hard improving CARLA! We hope you have fun experimenting with the new capabilities and we appreciate your feedback!

Business developer job opportunity within the CARLA team!! If you have a strong background in business development or marketing and are interested in autonomous driving and simulation, take a look at this new opportunity in the CARLA team. The CARLA team is looking for a dynamic and motivated Business Developer that will play a key role in promoting the simulator within different industries. You will work to identify new business opportunities, build relationships, and secure partnerships that drive our mission forward. This role requires an entrepreneurial mindset, a proactive approach, and a strong understanding of business development. If you are interested please read more and apply here: https://lnkd.in/dGMAtzSc Please direct any questions about the role to HR at the Computer Vision Center at this email address: rrhh@cvc.uab.cat Please re-post this if you know people in your network who might be interested!!

Excited to share the new Lunar Autonomy Challenge with all of you! This has been a great collaboration between APL (John Hopkins University), Caterpillar Inc., and the Embodied AI Foundation (CARLA simulator). If you are a student in a US university/college who loves space exploration and autonomy, this competition may be for you. Check it out: https://lnkd.in/g7wYcrug

The Inverted AI team is pleased to be working with CARLA simulator and Digital to advance the AV/ADAS behavioral simulation ecosystem. Exciting work ahead!   #autonomousvehicles #adas #Autonomousvehiclesimulation #consortium

Dear CARLA users The CARLA team and community go to great lengths continuously expanding the diversity of the CARLA content library to reflect the diversity of traffic environments, buildings, vehicles and road users in real-world driving environments. While CARLA's assets provide a good range of pedestrians ranging from children to adults with different clothing styles it's important to consider that some pavement/crossing users may be utilizing various modes of personal transport or mobility assistance devices. This is why we would like to bring your attention to an excellent, recent asset contribution from the CARLA community. Marc Teuber, working at itemis under the supervision of Andreas Graf and Hamza Ben Haj Ammar, has contributed a wheelchair user pedestrian asset which is now available in the DEV branch of the CARLA simulator. To add a wheelchair to a pedestrian model, first, check that the 'can_use_wheelchair' attribute of your chosen walker blueprint is true. If so, set the 'use_wheelchair' attribute to True then you may spawn a wheelchair user into your simulation. Update your CARLA code and content and check it out now!

📢 A simulation and Autoware integration expert, Synkrotron, has joined the Autoware Foundation. 🚀 🌟 Synkrotron has been a valued contributor to the CARLA simulator ecosystem for many years, and they bolstered their partnership by joining the CARLA consortium last year. Synkrotron has built a comprehensive commercial simulation toolchain based on CARLA, and they want to contribute to facilitating the integration of #CARLA and #Autoware. 🚗 Synkrotron has also been deploying Autoware software (Autoware.AI and Autoware Universe) extensively across a diverse range of hardware platforms, including a bespoke small-scale vehicle model and a commercially available electric vehicle. During this extensive work, Synkrotron identified and executed #optimization and #debugging processes within #Autoware stack components. Synkrotron is committed to contributing these enhancements to the Autoware community through well-documented pull requests to the official Autoware repository. 🔧 Last but not least, Snykrotron also developed a proprietary functional module for #calibration purposes, recognizing the challenges associated with vehicle dynamics calibration in deploying autonomous driving systems. Synkrotron intends to share this tool with the Autoware community, providing detailed documentation and support to ensure its successful integration and utilization. 🤝 Synkrotron plans to join the #Simulation working group primarily; however, they will also collaborate with other working groups where the learnings of Synkrotron can be transferred to the Autoware developer community. 🎉 We welcome Synkrotron to the Autoware Foundation, and we are excited to work with such an experienced partner in developing and deploying solutions for autonomous technology. Visit Synkrotron's website 👉 https://www.synkrotron.ai/ Yuxi Pan Read more in the Autoware Foundation blog 👉 https://lnkd.in/egEJx92N #news #newmember #autoware #opensource #autonomousvehicles #technology #welcome #worktogether

We are delighted to announce the winners of the CARLA CVPR Autonomous Grand Challenge 2024!! The Honorable Runner-up prize is awarded to the Tuebingen AI team, who placed first in the MAP track of the CARLA Leaderboard 2.0 and achieved second place in the SENSORS track. The Outstanding Champion award goes to LLM4AD, who achieved an impressive score of 6.9 in the SENSORS track of the Leaderboard 2.0, 23% ahead of the nearest competitor while also placing second in the MAP track. Additionally, LLM4AD are awarded the Innovation Award, for their innovation in using LLaVa and LLaMA in concert to generate waypoints and select challenging scenarios to focus training efficiently. Congratulations to the winners and to all the competitors who submitted excellent work. For more details about the CVPR Autonomous Grand Challenge go to the website: https://lnkd.in/dvDraz6c Thank you all for participating! We hope to see many of you at the workshop.

Dear CARLA community We are excited to notify you that the Unreal Engine 5 version of CARLA is currently accessible in a designated branch of the CARLA GitHub repository. We encourage you to download and build the repository to start experimenting with the new functionality brought to CARLA by Unreal Engine 5.3 which includes: - Improved scene illumination with Lumen - stunningly realistic reflections and ambient lighting - Improved geometry resolution and performance with Nanite - say goodbye to LODs and welcome geometry which adjusts smoothly and continiously with distance from camera, enabling the use of much more detailed geometry without performance costs This version of CARLA currently includes 1 map, Town 10, and 5 vehicles, all of which have been updated with new materials and textures exploiting UE5's advanced features. Further content from CARLA's content library will be migrated/upgraded in the near future. Check out the UE5 development branch here: https://lnkd.in/dBr7mQqp Note!! - The UE5 version of CARLA is a work in progress. Significant changes will be made to the branch throughout the following year. Some functionality is missing from previous versions of CARLA, while other functionality may be unstable or overhauled. We encourage you to experiment but we strongly discourage any mission-critical work based on this version until an official release. Enjoy!

Check out this amazing documentary detailing the CVC's development of AI for autonomous vehicles operating on rural roads. The project aims towards finding economical and sustainable solutions to public transport in isolated rural areas. CARLA is used to train and test the autonomous agent in simulation within a digital twin of a stunning route through the Catalan Pyrenees. The software is then deployed in real world tests in the Alt Pirineu nature park. https://lnkd.in/d9sxF7Xp

A realistic city generator. Hothifa Smair shared these videos on X which lets to adjust setbacks, height, layout, etc in real time. How does it work? “Powered by Geometry Nodes, this marvelous setup allows the user to easily generate entire cities in Blender, complete with a variety of buildings, roads, lamp posts, traffic lights, parking lots, vegetation, and more, which you can tweak and customize in real-time to get the exact layout you've envisioned. As stated by Hothifa, the generator is nearing its completion and will be available to download sometime very soon.” Thanks to Dimitar Pouchnikov for sharing his thoughts and getting me to check it out. Video shared for educational use. Sources Video source: https://lnkd.in/giZkT8qc https://lnkd.in/gVeCzECJ Dimitar’s post: https://lnkd.in/gFgpe6-G Article: https://lnkd.in/g6tcdjeB Review: https://lnkd.in/gNfn4Q-y