Groupe PSA and Inria, the French national institute for computer science and applied mathematics, are working together on artificial intelligence in a four-year research programme. The joint AI OpenLab joins the 18 OpenLab research facilities – described as pooled experimental resources – already established by PSA with partners. The AI OpenLab will look at 12 Read More..
Continental and DFKI to partner on AI research
The German Center for Artificial Intelligence (DFKI) is to partner with Continental and establish a joint research lab at the DFKI facility in Kaiserslautern. Here, Continental employees will look at specific issues such as AI-supported methods of data analysis and software development. A statement describes this as research “in the ecosystem of DFKI labs”. “The Read More..
BMW connects with Baidu, forms JV with Critical Software
BMW Connected plans to work with Baidu Internet of Vehicles on home-to-vehicle communications and expanding its digital ecosystem for Chinese customers. Services under development will include remote controls, voice controls, vehicle status monitoring from an owner’s home, and searching for travel information and route-planning. The global BMW Connected ecosystem is underpinned by its Open Mobility Read More..
Hyundai announces partnerships with Audi, Baidu, others
Hyundai Motor has announced a series of partnerships and joint collaborations covering artificial intelligence, autonomous driving technology, and fuel cell technology. At CES Asia 2018 in Shanghai, it outlined plans to work with Chinese start-up DeepGlint on AI, which it plans to use in four key focus areas: manufacturing, retail, environment and seamless mobility. It Read More..
Intangles releases digital twinning product for vehicle lifecycle management
Indian IoT and deep learning specialist Intangles, based in Pune, has released a product for vehicle lifecycle management that uses digital twinning. The software, called ‘Ingenious’, creates a set of virtual sensors for components and algorithms to predict potential failures and performance by interrogating the data collected from the vehicle in a hybrid physics-based model Read More..
Continental exhibits computer vision platform with AI
Continental has shown and outlined a computer vision platform for automated vehicles at CES Asia. This uses artificial intelligence, neural networks and machine learning to improve the ‘scene understanding’ and analysis of data from sensors and cameras. Neural networks will be used in Continental’s next-generation cameras, to go into production in 2020, and the company Read More..
Hyundai Mobis outlines autonomous driving sensor strategy
Hyundai Mobis has announced its intentions to develop sensors for all-autonomous driving by 2020. The Korean supplier said it is developing both high- and entry-level radars with a view to production from next year. It is working with Germany’s SMS and ASTYX on five radars for 360-degree detection, and is also collaborating with researchers from Read More..
Toyota Mobility Foundation and Alan Turing Institute to research AI for traffic management
The Toyota Mobility Foundation is supporting the Alan Turing Institute, the UK’s national institute for data science and artificial intelligence, on an AI project to optimize traffic flow in mobility systems. The programme aims to transition complex traffic management from static systems into dynamic, optimized systems with real-time management across different modes of mobility – Read More..
MIT researchers present dynamic lane-change algorithm for AVs
Researchers from the Computer Science and Artificial Intelligence Laboratory (CSAIL) at Massachusetts Institute of Technology (MIT) have presented a new lane-changing algorithm for autonomous cars. This creates and reassesses ‘buffer zones’ around a vehicle and is said to allow for more aggressive lane changes than existing simple lane-change algorithms, which tend to be impractically cautious Read More..
AEye introduces ‘Dynamic Vixels’, promises more perceptive AV data capture
AEye has announced a new real-time data type said to enable its artificial perception systems to see ‘more like humans’. Dynamic Vixels can now be deployed to enhance the Californian company’s iDAR (Intelligent Detection and Ranging) system: these combine pixels from 2D cameras with voxels from its Agile 3D LiDAR sensors to give a single Read More..