Search results for "autonomous"
Inspired by machine learning, ROS 2, Turtlebot3, and Rulex
One of the greatest challenges of a machine learning (ML) solution, is being able to explain why a trained model gave the output it did for a given input. One could track down the network of neurons that activated or the value of the discriminant function, but it would still be difficult to explain the decision to a human. Guest blog written byMihai Dragusu, Wind River.
Automotive imaging radar using TI mmWave sensors
There is still some confusion in the industry about the different roles that three major sensor types - camera, radar and LIDAR - have in a vehicle, and how each can solve the sensing needs of ADAS and autonomous driving.
Farnell adds AI resources, products to aid engineers
Artificial Intelligence (AI) is reshaoing our world so Farnell, along with element14, are expanding the AI products and resources available to help engineers develop new solutions leveraging the technology. Opportunities for engineers include availability of the BeagleBone AI single board computer and online resources to help overcome the complexity, cost and power challenges of developing for AI.
The next generation of automotive systems are hungry for more
The next generation of automotive systems are hungry for more. More advanced infotainment and ADASsystems. More storage for event data recording. Support for more 3D mapping. In a move that makes ‘more’ a reality,KIOXIA Europe(formerly Toshiba Memory Europe)has announced that it has begun sampling the industry’s first 512GB Automotive Universal Flash Storage(UFS) JEDEC Version 2.1 embedded memory solution.
Radar-on-chip for short-range radar applications
The use of radar technology has grown tremendously in recent years. In the automotive context, the primary radar applications can be broadly grouped into corner radars and front radars. Corner radars (rear and front) are typically short-range radar sensors that handle the requirements of blind-spot detection (BSD), lane-change assist (LCA) and front/rear cross-traffic alert (F/RCTA).
AI-IoT test solution for pedestrian traffic safety
The City of Tampere and Tieto have developed a solution to improve the urban traffic safety of pedestrians. Utilising artificial intelligence (AI) and Internet of Things (IoT) technology, the test solution can automatically detect when a pedestrian is planning to cross the street at an intersection.
Why AI will be inhuman
Cyber security provider F-Secure has launched a new research project to further develop the decentralised AI mechanisms currently used in its detection and response technologies. The initiative, dubbed Project Blackfin, aims to leverage collective intelligence techniques, such as swarm intelligence, to create adaptive, autonomous AI agents that collaborate with each other to achieve common goals.
Key AI and Industry 4.0 trends for engineers in 2020
With Industry 4.0 and artificial intelligence continually redefining the limits of what is possible for engineers and scientists, 2020 will be a pivotal year. Here are the key trends we can expect to see over the next 12 months. By Jos Martin, Senior Engineering Manager at MathWorks
Mission critical comms need a simpler approach
Barry Dowdy, Security Systems Manager for Aerospace and Defence Solutions, Analog Devices, explains how easy implementation should form the foundation of secure, mission critical communications in the defence sector.
What will customer experience look like in 2030?
Modern technology has upended the way brands and consumers engage. New products, services, consumers, and competitors have arrived and keep evolving. Consumer behaviour, likes and dislikes continue to change. What will the customer experience look like in 2030? And how will brands evolve to meet the expectations of future consumers? These are some of the questions addressed in “Experience 2030: The Future of Customer Experience” by Fu...