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Traffic-sign Recognition
Traffic-sign recognition (TSR) is a technology by which a vehicle is able to recognize the traffic signs put on the road e.g. "speed limit" or "children" or "turn ahead". This is part of the features collectively called Advanced driver-assistance systems, ADAS. The technology is being developed by a variety of automotive suppliers to improve the safety of vehicles. It uses image processing techniques to detect the traffic signs. The detection methods can be generally divided into color based, shape based and learning based methods. History The Vienna Convention on Road Signs and Signals is a treaty signed in 1968 which has been able to standardize traffic signs across different countries. About 52 countries have signed this treaty, which includes 31 countries from Europe. The convention has broadly classified the road signs into seven categories designated with letters A to H. This standardization has been the main drive for helping the development of traffic-sign recognition ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Volvo V40 (2012–2019)
The Volvo V40 is a small family car (C-segment in Europe) manufactured and marketed by Volvo Cars Volvo Car AB, trading as Volvo Cars (, styled VOLVO in the company's logo) is a Sweden, Swedish multinational manufacturer of luxury vehicles. Volvo is headquartered in Torslanda, Gothenburg. The company manufactures SUVs, station wagons, and ... from 2012 to 2019. It was unveiled at the Geneva Motor Show#2012, 2012 Geneva Motor Show, and was on sale in Europe between 2012 and 2019. Models V40 The V40 was designed by American Chris Benjamin, the interior is the work of Pontus Fontaeus, and was the last Volvo to be designed under Steve Mattin, before he departed the company. It is built on the Ford C1 platform, Global C platform with modifications to the electric power steering, and revised spring and damper settings. The engine lineup at launch are: two petrol engines; a 1.6 litre Ford EcoBoost engine#EcoBoost I-4, EcoBoost I4 producing either 150 or 180 hp, dependent o ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Haar-like Feature
Haar-like features are digital image features used in object recognition. They owe their name to their intuitive similarity with Haar wavelets and were used in the first real-time face detector.Viola and Jones,Rapid object detection using a boosted cascade of simple features, Computer Vision and Pattern Recognition, 2001 Working with only image intensities (i.e., the RGB pixel values at each and every pixel of image) made the task of feature calculation computationally expensive. A publication by Papageorgiou et al. discussed working with an alternate feature set based on Haar wavelets instead of the usual image intensities. Paul Viola and Michael Jones adapted the idea of using Haar wavelets and developed the so-called Haar-like features. A Haar-like feature considers adjacent rectangular regions at a specific location in a detection window, sums up the pixel intensities in each region and calculates the difference between these sums. This difference is then used to categorize s ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Traffic Sign Detection Example
Traffic is the movement of vehicles and pedestrians along land routes. Traffic laws govern and regulate traffic, while rules of the road include traffic laws and informal rules that may have developed over time to facilitate the orderly and timely flow of traffic. Organized traffic generally has well-established priorities, lanes, right-of-way, and traffic control at intersections. (International Regulations for Preventing Collisions at Sea govern the oceans and influence some laws for navigating domestic waters.) Traffic is formally organized in many jurisdictions, with marked lanes, junctions, intersections, interchanges, traffic signals, cones, or signs. Traffic is often classified by type: heavy motor vehicle (e.g., car, truck), other vehicle (e.g., moped, bicycle), and pedestrian. Different classes may share speed limits and easement, or may be segregated. Some jurisdictions may have very detailed and complex rules of the road while others rely more on drivers' common ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Computer Vision
Computer vision tasks include methods for image sensor, acquiring, Image processing, processing, Image analysis, analyzing, and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the form of decisions. "Understanding" in this context signifies the transformation of visual images (the input to the retina) into descriptions of the world that make sense to thought processes and can elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory. The scientific discipline of computer vision is concerned with the theory behind artificial systems that extract information from images. Image data can take many forms, such as video sequences, views from multiple cameras, multi-dimensional data from a 3D scanning, 3D scanner, 3D point clouds ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Uber
Uber Technologies, Inc. is an American multinational transportation company that provides Ridesharing company, ride-hailing services, courier services, food delivery, and freight transport. It is headquartered in San Francisco, California, and operates in approximately 70 countries and 15,000 cities worldwide. It is the largest ridesharing company worldwide with over 150 million monthly active users and 6 million active drivers and couriers. It coordinates an average of 28 million trips per day, and has coordinated 47 billion trips since its inception in 2010. In 2023, the company had a take rate (revenue as a percentage of gross bookings) of 28.7% for mobility services and 18.3% for food delivery. History In 2009, Garrett Camp, a co-founder of StumbleUpon, came up with the idea to create Uber to make it easier and cheaper to procure direct transportation. Camp and Travis Kalanick had spent $800 hiring a private driver on New Year's Eve, which they deemed excessive, and ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Waymo
Waymo LLC, formerly known as the Google Self-Driving Car Project, is an American autonomous driving technology company headquartered in Mountain View, California. It is a subsidiary of Google's parent company (Alphabet Inc., Alphabet Inc). The company traces its origins to the Stanford Racing Team, which Stanley (vehicle), competed in the 2005 and 2007 Defense Advanced Research Projects Agency (DARPA) DARPA Grand Challenge, Grand Challenges. Google's development of self-driving technology began in January 2009, led by Sebastian Thrun, the former director of the Stanford Artificial Intelligence Laboratory (SAIL), and Anthony Levandowski, founder of 510 Systems and Anthony's Robots. After almost two years of road testing, the project was revealed in October 2010. In fall 2015, Google provided "the world's first fully driverless ride on public roads". In December 2016, the project was renamed Waymo and spun out of Google as part of Alphabet. In October 2020, Waymo became the fir ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Computer Vision
Computer vision tasks include methods for image sensor, acquiring, Image processing, processing, Image analysis, analyzing, and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the form of decisions. "Understanding" in this context signifies the transformation of visual images (the input to the retina) into descriptions of the world that make sense to thought processes and can elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory. The scientific discipline of computer vision is concerned with the theory behind artificial systems that extract information from images. Image data can take many forms, such as video sequences, views from multiple cameras, multi-dimensional data from a 3D scanning, 3D scanner, 3D point clouds ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Image Processing
An image or picture is a visual representation. An image can be two-dimensional, such as a drawing, painting, or photograph, or three-dimensional, such as a carving or sculpture. Images may be displayed through other media, including a projection on a surface, activation of electronic signals, or digital displays; they can also be reproduced through mechanical means, such as photography, printmaking, or photocopying. Images can also be animated through digital or physical processes. In the context of signal processing, an image is a distributed amplitude of color(s). In optics, the term ''image'' (or ''optical image'') refers specifically to the reproduction of an object formed by light waves coming from the object. A ''volatile image'' exists or is perceived only for a short period. This may be a reflection of an object by a mirror, a projection of a camera obscura, or a scene displayed on a cathode-ray tube. A ''fixed image'', also called a hard copy, is one that ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Deep Learning
Deep learning is a subset of machine learning that focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation learning. The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data. The adjective "deep" refers to the use of multiple layers (ranging from three to several hundred or thousands) in the network. Methods used can be either supervised, semi-supervised or unsupervised. Some common deep learning network architectures include fully connected networks, deep belief networks, recurrent neural networks, convolutional neural networks, generative adversarial networks, transformers, and neural radiance fields. These architectures have been applied to fields including computer vision, speech recognition, natural language processing, machine translation, bioinformatics, drug design, medical image analysis, c ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Self-driving Car
A self-driving car, also known as an autonomous car (AC), driverless car, robotic car or robo-car, is a car that is capable of operating with reduced or no human input. They are sometimes called robotaxis, though this term refers specifically to self-driving cars operated for a ridesharing company. Self-driving cars are responsible for all driving activities, such as perceiving the environment, monitoring important systems, and controlling the vehicle, which includes navigating from origin to destination. , no system has achieved full autonomy (SAE Level 5). In December 2020, Waymo was the first to offer rides in self-driving taxis to the public in limited geographic areas (SAE Level 4), and offers services in Arizona (Phoenix) and California (San Francisco and Los Angeles). In June 2024, after a Waymo self-driving taxi crashed into a utility pole in Phoenix, Arizona, all 672 of its Jaguar I-Pace vehicles were recalled after they were found to have susceptibility to cr ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
