19 mars 2020

Tesla and rivals like Waymo and GM are locked in a battle over the future of self-driving cars

Tesla and rivals like Waymo and GM are locked in a battle over the future of self-driving cars The widening gap between Tesla and the rest of the self-driving-vehicle industry has created two distinct visions for the future of the technology. In recent years, many of the companies developing self-driving cars have backed off from the aggressive timelines they had previously set to introduce fully driverless vehicles for personal or commercial use. And they are increasingly using investments and... [Lire la suite]
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15 mars 2020

ARTIFICIAL INTELLIGENCE IN CARS POWERS AN AI REVOLUTION IN THE AUTO INDUSTRY

ARTIFICIAL INTELLIGENCE IN CARS POWERS AN AI REVOLUTION IN THE AUTO INDUSTRY Artificial intelligence (AI) and self-driving cars are often complimentary topics in technology. Simply put, you cannot really discuss one without the other. Though AI is being implemented at rapid speed in a variety of sectors, the way in which it’s being used in the automotive industry is a hot-button issue right now. ARTIFICIAL INTELLIGENCE IN CAR MANUFACTURING Car manufacturers all over the globe are using artificial intelligence in... [Lire la suite]
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14 février 2020

Enhancements of V2X Communication in Support of Cooperative Autonomous Driving

Enhancements of V2X Communication in Support of Cooperative Autonomous Driving Two emerging technologies in the automotive domain are autonomous vehicles and V2X communication. Even though these technologies are usually considered separately, their combination enables two key cooperative features: sensing and maneuvering. Cooperative sensing allows vehicles to exchange information gathered from local sensors. Cooperative maneuvering permits inter-vehicle coordination of maneuvers. These features enable the creation of cooperative... [Lire la suite]
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06 février 2020

ADAS to Double Automotive Image Sensor Shipments by 2023

ADAS to Double Automotive Image Sensor Shipments by 2023   Based on the latest research by Counterpoint’s Smart Automotive service, the demand for embedded image sensors for passenger cars globally is projected to double by 2023. The shipments of these image sensors will grow at a 19% CAGR, crossing 230 million units by 2023. Commenting on these analyses, Aman Madhok, Senior Analyst for Smart Automotive stated, “Currently, most cars equipped with (rear) camera use it for basic parking visibility. However, this will... [Lire la suite]
04 février 2020

Indonesian Auto Production and Domestic Consumption Trending Upward

Indonesian Auto Production and Domestic Consumption Trending Upward Indonesia is the second largest car manufacturing nation in Southeast Asia and the ASEAN (Association of Southeast Asian Nations) region, trailing behind Thailand, which controls about half of total car production.  Well-known auto producers have opened or reopened manufacturing plants or increased production in Indonesia.  In 2017 SAIC-GM-Wuling — a joint venture between General Motors, SAIC, and Guangxi Automobile Group — invested $700 million into... [Lire la suite]
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27 janvier 2020

Artificial Intelligence in the Automotive Industry

Artificial Intelligence in the Automotive Industry So far in this blog series, I’ve focused on the nuts and bolts of planning AI deployments, building data pipelines from edge to core to cloud, and the considerations for moving machine learning and deep learning projects from prototype to production. Over the next several months, I want to focus on real-world AI use cases in specific industries, including automotive, healthcare, financial services, and manufacturing.   I’ll be starting with the automotive industry,... [Lire la suite]
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14 janvier 2020

The Place of Machine Learning and Artificial Intelligence in the Automotive Industry

The Place of Machine Learning and Artificial Intelligence in the Automotive Industry When it comes to vehicles, dials and switches are used to control everything. As the automotive industry evolves, so do its norms. Today, we are rapidly moving towards a world of shared and self-driving cars. Automotive manufacturers implement a range of human-machine interface technologies (HMIs), including voice controls, interior-facing cameras, touch-sensitive surfaces, and smarter, personalized platforms. Voice control is among the... [Lire la suite]
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14 octobre 2019

Sensor fusion: A critical step on the road to autonomous vehicles

Sensor fusion: A critical step on the road to autonomous vehicles Many cars on the road today, and even more new cars in the show rooms, have some form of advanced driver assistance system (ADAS) based on sensors like cameras, radar, ultrasound, or LIDAR. However, it is not just the number or type of sensors that is important, but how you use them. These numbers will continue to increase as new laws are passed, for example, mandatory rear-view cameras in the United States). Also, insurance discounts and car safety... [Lire la suite]
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27 septembre 2019

New Data Fusion Development Tool for Sensors like Radar, Camera and Lidar

New Data Fusion Development Tool for Sensors like Radar, Camera and Lidar Typical use cases include Automated Emergency Braking (AEB), Adaptive Cruise Control (ACC), Forward Collision Warning (FCW) and object fusion for piloted driving. Furthermore, the development tool can be used for object fusion for diverse paths in decomposed safety architectures.All relevant automotive sensors like radar, camera and lidar are supported. The tool provides a consistent workflow from a first prototype up to series production, which is unique in... [Lire la suite]
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02 septembre 2019

Automotive Artificial Intelligence

Automotive Artificial Intelligence   TOP VENDORS 1 NVIDIA CORPORATION NVIDIA DriveWorks software allows cars to receive over-the-air updates to add new features and capabilities throughout the life of a vehicle. The company invests mainly in R&D every year, with more  ... 2 INTEL CORPORATION Intel has designed Deep Learning Inference Accelerator (DLIA), an integrated hardware, software frameworks and libraries such as Intel Math Kernel Library for Deep Neural Networks (MKL-DNN) and Caffe, which ... ... [Lire la suite]
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