automotive

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]

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]

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]

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]

Artificial Intelligence for Automotive Applications Artificial intelligence (AI) systems, which use data and algorithms to mimic the cognitive functions of the human mind, and have the ability to learn and solve problems independently, are rapidly being deployed across a variety of industries and use cases. The automotive industry is among the industries at the forefront of using AI to mimic, augment, and support the actions of humans, while simultaneously leveraging the advanced reaction times and pinpoint precision of... [Lire la suite]

The V2X Standards Faceoff   Many new cars on the market today sport some form of advanced driver-assistance system (ADAS). Leveraging features like backup cameras, automatic braking, lane keeping and blind-spot detection, these systems have proven their ability to significantly enhance driving safety. To take this automotive technology to the next logical level, however, carmakers must add wireless communications. The problem is that the industry cannot agree on a single radio frequency standard to bring the... [Lire la suite]

Artificial Intelligence In Automotive Industry: Surprisingly Slow Uptake And Missed Opportunities The automotive industry is one of the most high-tech industries in the world – so a headline finding in a report published this week was, on the face of it, somewhat surprising. Capgemini’s report – Accelerating Automotive’s AI Transformation – found that during 2018, the number of companies in the industry deploying AI “at scale” grew only marginally by 3%. This reflected that just 10% of respondents surveyed said that their... [Lire la suite]

Continental and Vodafone powers AI with Netrounds Vodafone and Continental recently showcased first results of their innovation partnership and demonstrated how new technologies, including Netrounds for real-time testing and active monitoring, can assist in preventing thousands of road accidents every year. The Vodafone and Continental project uses Multi-access Edge Computing (MEC) to enable a new type of automotive application for road safety features in connected cars powered by Artificial Intelligence (AI). The application... [Lire la suite]

CES 2019 Cools on Self-Driving; Digital Cockpits, V2X & In-Vehicle Shopping Drive Mobility Market Each year global automakers, component manufacturers and tech companies flock to Las Vegas to promote their visions of future mobility at the annual Consumer Electronics Show (CES). Consulting firm McKinsey & Company defines mobility as “the market that includes public and private passenger transport as well as the transportation of goods” It’s a huge and diverse arena, where AI and 5G are disrupting established industries... [Lire la suite]

                We are pleased to announce that epicnpoc is now part of the MOVEO Groupement ADAS. epicnpoc transforms our clients user-experience concepts into future products by empowering their innovation capabilities with a manageable technology ecosystem in order to create comprehensive and easy to communicate demonstrations based on robust and capitalizable software architecture                        ... [Lire la suite]