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Speed Limit Display
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 ADAS. The technology is being developed by a variety of automotive suppliers. 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 systems that can be used globally. Traffic-sign recognition first ap ...
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Volvo V40 (2012–2019)
The Volvo V40 is a small family car (C-segment in Europe) manufactured and marketed by Volvo Cars from 2012 to 2019. It was unveiled at the 2012 Geneva Motor Show, and was on sale in Europe and the United Kingdom 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 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 EcoBoost I4 producing either 150 or 180 hp, dependent on specification, and a 2.5 litre Volvo B525 I5 producing 254 hp, and two diesel engines; a 1.6 litre PSA Peugeot Citroën / Ford Duratorq engine, which produces 115 hp, whilst only emitting 94 g/km of CO2, and a 2.0 litre I5 Volvo diesel engine available in two versions, 150 hp and 177&nbs ...
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Neural Networks
A neural network is a network or circuit of biological neurons, or, in a modern sense, an artificial neural network, composed of artificial neurons or nodes. Thus, a neural network is either a biological neural network, made up of biological neurons, or an artificial neural network, used for solving artificial intelligence (AI) problems. The connections of the biological neuron are modeled in artificial neural networks as weights between nodes. A positive weight reflects an excitatory connection, while negative values mean inhibitory connections. All inputs are modified by a weight and summed. This activity is referred to as a linear combination. Finally, an activation function controls the amplitude of the output. For example, an acceptable range of output is usually between 0 and 1, or it could be −1 and 1. These artificial networks may be used for predictive modeling, adaptive control and applications where they can be trained via a dataset. Self-learning resulting from e ...
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Deep Learning
Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. Deep-learning architectures such as deep neural networks, deep belief networks, deep reinforcement learning, recurrent neural networks, convolutional neural networks and Transformers have been applied to fields including computer vision, speech recognition, natural language processing, machine translation, bioinformatics, drug design, medical image analysis, Climatology, climate science, material inspection and board game programs, where they have produced results comparable to and in some cases surpassing human expert performance. Artificial neural networks (ANNs) were inspired by information processing and distributed communication nodes in biological systems. ANNs have various differences from biological brains. Specifically, artificial ...
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Chain Code
A chain code is a lossless compression based image segmentation method for binary images based upon tracing image contours. The basic principle of chain coding, like other contour codings, is to separately encode each connected component, or "blob", in the image. For each such region, a point on the boundary is selected and its coordinates are transmitted. The encoder then moves along the boundary of the region and, at each step, transmits a symbol representing the direction of this movement. This continues until the encoder returns to the starting position, at which point the blob has been completely described, and encoding continues with the next blob in the image. This encoding method is particularly effective for images consisting of a reasonably small number of large connected components. Variations Some popular chain codes include: * the Freeman Chain Code of Eight Directions (FCCE) * Directional Freeman Chain Code of Eight Directions (DFCCE) * Vertex Chain Code (VCC) * T ...
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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 Historically, 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 c ...
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Traffic Sign Detection Example
Traffic comprises pedestrians, vehicles, ridden or herded animals, trains, and other conveyances that use public ways (roads) for travel and transportation. 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. Traffic is formally organized in many jurisdictions, with marked lanes, junctions, intersections, interchanges, traffic signals, 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 sense and willingness to cooperate. Organization typ ...
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TomTom
TomTom N.V. is a Dutch multinational developer and creator of location technology and consumer electronics. Founded in 1991 and headquartered in Amsterdam, TomTom released its first generation of satellite navigation devices to market in 2004. the company has over 4,500 employees worldwide and operations in 29 countries throughout Europe, Asia-Pacific, and the Americas. History The company was founded in Amsterdam in 1991 as Palmtop Software, by Corinne Vigreux, Peter-Frans Pauwels and Pieter Geelen. The company focused on corporate handheld device software before focusing on the consumer market and releasing the first route planning software for mobile devices in 1996. Software was developed mainly for Psion devices and the company was one of the largest developers of Psion software in the late 1990s. Palmtop also worked with Psion in the development of EPOC32. Software was also developed for Palm and Windows CE devices. In 1999, Vigreux's husband, Harold Goddijn left Psion ...
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Uber
Uber Technologies, Inc. (Uber), based in San Francisco, provides mobility as a service, ride-hailing (allowing users to book a car and driver to transport them in a way similar to a taxi), food delivery (Uber Eats and Postmates), package delivery, couriers, and freight transportation. Via partnerships with other operators such as Thames Clippers (boats) and Lime (electric bicycles and motorized scooters), users are also able to book other modes of transport through the Uber platform in some locations. Uber sets fares, which vary using a dynamic pricing model based on local supply and demand at the time of the booking and are quoted to the customer in advance, and receives a commission from each booking. It had operations in approximately 72 countries and 10,500 cities as of December 31, 2021. Uber offers many different types of ride options. UberX is the most popular and the standard service of the company. UberXL, Uber Comfort, and Uber Black are other options offered ...
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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 Alphabet Inc, the parent company of Google. Waymo operates a commercial self-driving taxi service in the greater Phoenix, Arizona area. In October 2020, the company expanded the service to the public, and it was the only self-driving commercial service that operates without safety backup drivers in the vehicle at that time. Waymo also develops driving technology for use in other vehicles, including delivery vans and Class 8 tractor-trailers for delivery and logistics. Waymo is run by co-CEOs Tekedra Mawakana and Dmitri Dolgov. The company has raised $5.5 billion in multiple outside funding rounds. Waymo has partnerships with multiple vehicle manufacturers to integrate Waymo's technology, including with Mercedes-Benz Group AG, Nissan-Renault, Stellantis, Jaguar Land Rover, and Volvo. Histor ...
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Computer Vision
Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to understand and automate tasks that the human visual system can do. Computer vision tasks include methods for acquiring, processing, 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 forms of decisions. Understanding in this context means the transformation of visual images (the input of 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 ...
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Image Processing
An image is a visual representation of something. It can be two-dimensional, three-dimensional, or somehow otherwise feed into the visual system to convey information. An image can be an artifact, such as a photograph or other two-dimensional picture, that resembles a subject. In the context of signal processing, an image is a distributed amplitude of color(s). In optics, the term “image” may refer specifically to a 2D image. An image does not have to use the entire visual system to be a visual representation. A popular example of this is of a greyscale image, which uses the visual system's sensitivity to brightness across all wavelengths, without taking into account different colors. A black and white visual representation of something is still an image, even though it does not make full use of the visual system's capabilities. Images are typically still, but in some cases can be moving or animated. Characteristics Images may be two or three-dimensional, such as a pho ...
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