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GM's hands-free Super Cruise driving system now works on Route 66

FOX News

The 2021 Cadillac Escalade is available with the latest version of GM's hands-free Super Cruise highway driving aid. Fox News Autos Editor Gary Gastelu lets it take him for a ride. You'll soon be able to get your kicks on Route 66 without using your feet … or hands. General Motors has announced an upcoming update to its feet-and-hands-free Super Cruise highway driving system that will double the amount of roads it can operate on. The system is an advanced cruise control that is enabled by a database of hyper-accurate 3D maps that were created with the use of lidar scanners mounted to scouting vehicles that drove the actual roads.


Here's how AI, computer vision will change driving - EcoMotion 2022

#artificialintelligence

Earlier this month, the EcoMotion 2022 conference took place, where companies and experts from across the automotive technology industry gathered to showcase the latest innovations defining the sector. Autonomous vehicles were also present at the conference, with new technologies showcased by companies such as the driving system verification platform Foretellix. The company's platform is used by companies like Volvo, MobilEye and Amazon Web Services to verify the safety and viability of the software used to direct Autonomous Vehicles and Advanced Driver-Assistance Systems. The company recently closed a $32m investment round, with its overall capital raised reaching $50m since it was established in 2018. The Renault-Nissan-Mitsubishi Innovation Lab in Tel Aviv was present at the conference, looking for the latest innovations to utilize in future cars and services offered by the alliance members' companies. The lab's mission statement is to advance state-of-the-art mobility, with the main focus on vision sensors, cybersecurity, EV and data & AI.


Toyota, Invisible AI team up to deploy an AI computer vision system in factories

#artificialintelligence

The factory has eyes: Startup Invisible AI will deploy its computer vision analytics system in all of Toyota’s factories in North America. But the unprecedented insight could have some downsides.


Toyota to apply artificial intelligence to boost efficiency in its factories

#artificialintelligence

Toyota Motor North America (TMNA) is partnering with Invisible AI to deploy artificial intelligence (AI) in its factories to enhance efficiency and safety. The computer vision platform of the Texas-based company will be installed in 14 Toyota factories in North America. The AI will analyze manufacturing operations to detect any technical issues, revealing the invisible problems to the human eye and cameras and fixing them to improve processes' quality and safety. According to Forbes, Toyota aims to apply computer vision technology to accurately review the assembly process and reduce the time to find inefficiencies. Under the two-year agreement, Toyota factories will be equipped with a system consisting of 500 AI devices using NVIDIA processors and a high-resolution 3D camera to observe operations.


Inside the terrifying future of shapeshifting robots that will manipulate your emotions

#artificialintelligence

As humans work to become less socially robotic these days, robots are becoming more human-like. With recent advancements, robots could be shifting shapes, helping manage your emotions and much more. Japanese researchers from the RIKEN Guardian Robot Project have created Nikola, an android kid capable of communicating six basic emotions – anger, disgust, fear, happiness, sadness and surprise. Three studies published in February in the journal Frontiers in Psychology demonstrated the robot's potential to portray human-like emotional facial expressions, an industry first for androids. The bot boy's face has 29 devices (pneumatic actuators) that control artificial muscle movement through air pressure allowing it to move like the real muscles in a human face.


Arm unveils image processor for driver assistance and automation

#artificialintelligence

Arm has introduced a design for an automotive image signal processor to enhance driver assistance and automation technologies. The Arm Mali-C78AE image signal processor (ISP) is part of Arm's AE line of safety-capable intellectual property suitable for advanced drivers assistance systems (ADAS) and human vision applications. It's the first product announcement since Nvidia called off the $80 billion acquisition of Arm last week. The first licensee for the tech is Intel's Mobileye, which is licenses the Mali-C78AE and the next-generation EyeQ technology. ADAS tech has grown from a premium vehicle feature to a capability consumers now expect as standard in new vehicles, as the systems have helped with driver safety.


A Probabilistic Framework for Dynamic Object Recognition in 3D Environment With A Novel Continuous Ground Estimation Method

arXiv.org Artificial Intelligence

In this thesis a probabilistic framework is developed and proposed for Dynamic Object Recognition in 3D Environments. A software package is developed using C++ and Python in ROS that performs the detection and tracking task. Furthermore, a novel Gaussian Process Regression (GPR) based method is developed to detect ground points in different urban scenarios of regular, sloped and rough. The ground surface behavior is assumed to only demonstrate local input-dependent smoothness. kernel's length-scales are obtained. Bayesian inference is implemented sing \textit{Maximum a Posteriori} criterion. The log-marginal likelihood function is assumed to be a multi-task objective function, to represent a whole-frame unbiased view of the ground at each frame because adjacent segments may not have similar ground structure in an uneven scene while having shared hyper-parameter values. Simulation results shows the effectiveness of the proposed method in uneven and rough scenes which outperforms similar Gaussian process based ground segmentation methods.


Object Detection in Autonomous Vehicles: Status and Open Challenges

arXiv.org Artificial Intelligence

Object detection is a computer vision task that has become an integral part of many consumer applications today such as surveillance and security systems, mobile text recognition, and diagnosing diseases from MRI/CT scans. Object detection is also one of the critical components to support autonomous driving. Autonomous vehicles rely on the perception of their surroundings to ensure safe and robust driving performance. This perception system uses object detection algorithms to accurately determine objects such as pedestrians, vehicles, traffic signs, and barriers in the vehicle's vicinity. Deep learning-based object detectors play a vital role in finding and localizing these objects in real-time. This article discusses the state-of-the-art in object detectors and open challenges for their integration into autonomous vehicles.


Challenges of Artificial Intelligence -- From Machine Learning and Computer Vision to Emotional Intelligence

arXiv.org Artificial Intelligence

Artificial intelligence (AI) has become a part of everyday conversation and our lives. It is considered as the new electricity that is revolutionizing the world. AI is heavily invested in both industry and academy. However, there is also a lot of hype in the current AI debate. AI based on so-called deep learning has achieved impressive results in many problems, but its limits are already visible. AI has been under research since the 1940s, and the industry has seen many ups and downs due to over-expectations and related disappointments that have followed. The purpose of this book is to give a realistic picture of AI, its history, its potential and limitations. We believe that AI is a helper, not a ruler of humans. We begin by describing what AI is and how it has evolved over the decades. After fundamentals, we explain the importance of massive data for the current mainstream of artificial intelligence. The most common representations for AI, methods, and machine learning are covered. In addition, the main application areas are introduced. Computer vision has been central to the development of AI. The book provides a general introduction to computer vision, and includes an exposure to the results and applications of our own research. Emotions are central to human intelligence, but little use has been made in AI. We present the basics of emotional intelligence and our own research on the topic. We discuss super-intelligence that transcends human understanding, explaining why such achievement seems impossible on the basis of present knowledge,and how AI could be improved. Finally, a summary is made of the current state of AI and what to do in the future. In the appendix, we look at the development of AI education, especially from the perspective of contents at our own university.


Clearview's AI facial recog technology set to be patented

#artificialintelligence

Clearview's controversial facial recognition technology is getting closer to being patented by the US Patent and Trademark Office. The USPTO has given Clearview a "notice of allowance", a sign that the startup's patent application will be approved once it pays administrative costs, Politico reported. Clearview said it has scraped ten billion photos from public social media accounts. Although companies like Instagram and Twitter disapprove, Clearview has continued to download these images without permission. Now, its methods and software are may be officially patented. Clearview's application describes a "downloading by a web crawler facial images of individuals and personal information associated therewith; and storing the downloaded facial images and associated personal information in the database."