#autonomous_vehicles

[phonemantra-blog]

10 Benefits of Self-Driving Cars: A Comprehensive Guide Welcome to our comprehensive guide on the 10 benefits of self-driving cars. In this article, we will delve into the numerous advantages that autonomous vehicles bring to our society. Self-driving cars have revolutionized the automotive industry, and their impact extends far beyond just transportation. Join us as we explore the incredible benefits that these vehicles offer. Enhanced Safety One of the most significant benefits of self-driving cars is the potential to greatly enhance safety on our roads. Autonomous vehicles are equipped with advanced technologies such as sensors, cameras, and artificial intelligence, which enable them to detect and respond to their surroundings with exceptional accuracy. By eliminating human error, which is often the cause of accidents, self-driving cars have the potential to reduce the number of collisions and save countless lives. Reduced Traffic Congestion Traffic congestion is a major issue in many cities around the world. Self-driving cars can help alleviate this problem by optimizing traffic flow. Through the use of interconnected systems and real-time data, autonomous vehicles can communicate with each other and make informed decisions to avoid congestion. This efficient coordination leads to smoother traffic patterns and reduced travel times for everyone. Increased Accessibility Self-driving cars have the potential to increase accessibility for individuals who are unable to drive due to age, disabilities, or other reasons. With autonomous vehicles, people with limited mobility can regain their independence and have the freedom to travel wherever they need to go. This increased accessibility can have a profound impact on the quality of life for many individuals. Improved Fuel Efficiency Another significant benefit of self-driving cars is improved fuel efficiency. Autonomous vehicles are designed to optimize driving patterns and reduce unnecessary acceleration or braking. By driving more smoothly and efficiently, self-driving cars can help conserve fuel and reduce carbon emissions, contributing to a greener and more sustainable future. Productivity and Time Savings Self-driving cars can transform our daily commutes into valuable time for productivity or relaxation. With autonomous vehicles handling the driving tasks, individuals can utilize their travel time to catch up on work, read, or simply unwind. This newfound productivity can lead to increased efficiency and a better work-life balance. Enhanced Mobility Services The advent of self-driving cars opens up new possibilities for mobility services. With autonomous vehicles, ride-sharing services can become more efficient and affordable. Additionally, self-driving cars can be utilized for on-demand transportation, making it easier for people to access transportation whenever they need it. This enhanced mobility can improve transportation options for individuals and reduce the need for personal vehicle ownership. Improved Traffic Safety and Law Enforcement Self-driving cars have the potential to revolutionize traffic safety and law enforcement. With their ability to accurately follow traffic laws and communicate with other vehicles, autonomous cars can significantly reduce traffic violations. Additionally, self-driving cars can assist law enforcement agencies by providing valuable data and evidence in the event of accidents or traffic incidents. Environmental Benefits As mentioned earlier, self-driving cars contribute to improved fuel efficiency, leading to reduced carbon emissions. This environmental benefit is crucial in combating climate change and achieving sustainability goals. By embracing self-driving technology, we can work towards a cleaner and healthier planet for future generations. Economic Impact The widespread adoption of self-driving cars can have a substantial economic impact. With increased safety and reduced traffic congestion, there will be fewer accidents and delays, resulting in significant cost savings. Moreover, the autonomous vehicle industry itself can create new job opportunities and stimulate economic growth through research, development, and manufacturing. Enhanced Travel Experience Lastly, self-driving cars have the potential to enhance the overall travel experience. With advanced entertainment systems, comfortable interiors, and the ability to focus on other activities during the journey, autonomous vehicles can transform travel into a more enjoyable and relaxing experience. [caption id="attachment_79878" align="aligncenter" width="1555"] 10 benefits of self-driving cars[/caption] In conclusion, self-driving cars offer a myriad of benefits that extend beyond just transportation. From improved safety and reduced traffic congestion to increased accessibility and enhanced travel experiences, autonomous vehicles are poised to revolutionize our society. By embracing this innovative technology, we can create a future that is safer, more efficient, and more sustainable. Let us embrace the incredible potential of self-driving cars and pave the way for a new era of transportation. Frequently Asked Questions Q1: What are self-driving cars? A1: Self-driving cars, also known as autonomous vehicles, are vehicles that can operate without human intervention, using various sensors and technologies to navigate and drive themselves. Q2: How do self-driving cars work? A2: Self-driving cars use a combination of sensors, cameras, radar, and advanced algorithms to perceive their surroundings, analyze data, and make decisions to navigate, accelerate, brake, and avoid obstacles. Q3: Are self-driving cars safe? A3: Self-driving cars have the potential to greatly improve road safety. With their advanced technologies, they can reduce human errors, which are responsible for the majority of accidents. Q4: What are the benefits of self-driving cars? A4: The benefits of self-driving cars include increased road safety, reduced traffic congestion, improved fuel efficiency, enhanced mobility for the elderly and disabled, and more productive travel time. Q5: Can self-driving cars operate in all weather conditions? A5: While self-driving cars are designed to operate in various weather conditions, extreme weather conditions such as heavy snowstorms or dense fog can still pose challenges to their sensors and navigation systems. Q6: How do self-driving cars handle complex traffic situations? A6: Self-driving cars use advanced algorithms and artificial intelligence to analyze and predict the behavior of other vehicles, pedestrians, and cyclists, allowing them to navigate complex traffic situations safely. Q7: Will self-driving cars eliminate the need for human drivers? A7: While self-driving cars have the potential to greatly reduce the need for human drivers, it is unlikely that human drivers will be comminated. There may still be situations where human intervention is required. Q8: Are self-driving cars legal? A8: The legality of self-driving cars varies by country and jurisdiction. Many governments are working on regulations and laws to address the deployment and operation of self-driving cars on public roads. Q9: How will self-driving cars impact the job market? A9: The widespread adoption of self-driving cars may lead to job displacement in certain industries, such as truck driving and taxi services. However, it is also expected to create new job opportunities in areas such as vehicle maintenance and software development. Q10: When can we expect self-driving cars to become widely available? A10: The timeline for the widespread availability of self-driving cars is uncertain. While some autonomous features are already being integrated into modern vehicles, achieving full autonomy and widespread adoption may take several more years.

[gecgudlavalleru]

Two days National Level Project Envision and Tech - Innovate Hackathon as part of silver Jubilee celebrations of SRGEC was conducted on 30th and 31st , Oct ‘23. Er.B.Sambireddy, Director, Efftronics Systems Pvt.Ltd, Magalagiri & Retd.GM of Railways, inaugurated the event.  Students have participated in Project model, Roborace, drone applications , autonomous vehicles and hackathon ( 24 hours ) competitions. Prof.M.Kamaraju, Coordinated the event.

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[goldstein-research]

“North America is Anticipated to be the Largest Market for Autonomous Vehicle”-Goldstein Research

According to Goldstein Research, The global autonomous vehicles market is expected to grow at a CAGR of more than 39% during the forecast period 2016-2024. The autonomous vehicles are still in the testing phase but once there is the deployment of autonomous cars (expected by the year 2020), the world autonomous vehicle industry is expecting a sales of more than 600,000 units.

Global autonomous vehicles market segmentation has been carried out on the basis of technology, vehicle type, components, and geography. Based on technology, semi-automation and driver assistance technology segment is expected to boost the market. Semi-automation technology is expected to be deployed in near future by the top market players such as Bosh and Volkswagen.

Global autonomous vehicles market is majorly driven by North America owing to the fact that adoption of semi-autonomous vehicles and the required infrastructure is apt as compared to other regions of the world. North America is anticipated to be closely followed by Western Europe with nearly 3 million autonomous vehicles to be sold by 2024.

Download Exclusive Sample Report: https://www.goldsteinresearch.com/request-sample/global-autonomous-vehicles-market-outlook-2016-2024

Market Segmentation

On the basis of our in-depth analysis, Global Autonomous Vehicles Market can be segmented as follows:

By Technology

Driver Assistance

Semi-Automation

High Automation

Full Automation

By Vehicle Type

Passenger Cars

Commercial Vehicles

By Components

Software

Hardware

Applications

Operating systems

Cameras

GPS systems

Communication Systems

Sensors

Radars

LIDARs

Wheel Speed Sensors

Ultrasonic

Others

By Region

North America (US, Canada) {Market Share (%), Market Size (USD Billion, Adoption Rate (%)}

Europe (UK, France, Italy, Germany, Spain, Hungary, Sweden, Russia, Poland and Rest of Europe) {Market Share (%), Market Size (USD Billion), Adoption Rate (%)}

The Middle East and Africa (GCC Countries, North Africa, South Africa and Rest of the Middle East & Africa) {Market Share (%), Market Size (USD Billion), Adoption Rate (%)}

Latin America (Brazil, Mexico and Rest of Latin America) {Market Share (%), Market Size (USD Billion), Adoption Rate (%)}

Asia Pacific (China, Japan, India, Singapore, South Korea, Australia, New Zealand and Rest of Asia-Pacific) {Market Share (%), Market Size (USD Billion), Adoption Rate (%)}

Global Autonomous Vehicles Market Analysis by Goldstein Research contains the detailed overview of the global autonomous vehicles market. Further, for the in-depth analysis, Global Autonomous Vehicles Market Report encompasses the industry growth drivers, market challenges, risk analysis, market attractiveness, BPS (Base Point Scale) analysis, Porter’s five force model and SWOT analysis. This market report also includes competitive outlook of some of the major players profiling of companies such as Volkswagen Group, Tesla Motors, Daimler Group, Google Inc., Uber, BMW AG, Audi AG, General Motors, Volvo Group, Nissan Motor Company, Baidu Inc., Apple Inc., Ford Motor Company, Toyota Motor Corporation and Dutch Automated Vehicle Initiative (DAVI),etc.

The company profiles include business strategy, geographical revenue distribution, major information of the companies which encompasses business outlook, products, services, and industries catered, financial analysis of the company and recent developments.

Overall, the report represents the global autonomous vehicles market trends along with the market forecast that will help industry consultants, technology providers, existing players searching for expansion opportunities, new players searching possibilities and other stakeholders to align their market-centric strategies according to the ongoing and expected trends in the future.

Browse Full Report: https://www.goldsteinresearch.com/report/global-autonomous-vehicles-market-outlook-2016-2024

Key questions answered in this Global Autonomous Vehicles Report

What is the Global Autonomous Vehicles Market Size by 2024 and what would be the expected growth rate of the industry?

What is the total revenue per segment and region in 2015-16 and what would be the expected revenue per segment and region over the forecast period?

What are the autonomous vehicles market trends?

What are the factors which are driving this industry?

What are the major barriers to autonomous vehicles industry growth?

Who are the key vendors in this industry space?

What are the industry opportunities for the existing and entry-level players?

What are the recent developments and business strategy of the key players?

For more reports related to Automotive Industry, Visit: https://www.goldsteinresearch.com/industries/automotive

About Goldstein Research

Based in the US, Goldstein Research currently has a strong presence in the American and Asian countries. In the next five years, we strive to expand our reach to 50+ nations spanning across Europe, Asia and parts of the Middle East and Africa. We strive to realize a strong brand presence globally through our quality research and forecasting solutions.

Our mission is simple: to develop insightful business solutions, help our clients make powerful future decisions to keep them well ahead of the game which is the industry, and leave a mark across businesses and communities through our well-defined ideas and clear-cut forecasts.

Our industry research reports provide in-depth analysis of global and regional variations along with competitors’ overview. Our analysts working on automotive industry analysis reports helping various tech-giants, tech start-ups and entry players to assess the current and upcoming business scenario. We believe in the rigorous examination of the current industry scenario and build around creative ideas and approaches that are most suitable for our clients’ needs and business agenda.

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USA: + 1-646-568-7747

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UK: +44-203-318-6627

sales@goldsteinresearch.com

www.goldsteinresearch.com

[ankaapmo]

Training AI for AV: How Are Unannotated 2D Images Turned Into 3D Cuboids? - #Ankaa

Training AI for AV: How Are Unannotated 2D Images Turned Into 3D Cuboids? For autonomous vehicles to successfully navigate myriad road obstacles, AI must be constantly trained to accurately perceive real-world 3D objects for what they are — traffic cones, pedestrians, electric scooters, etc. In order to do so, 2D images and video collected by sensor cameras must be r... https://ankaa-pmo.com/training-ai-for-av-how-are-unannotated-2d-images-turned-into-3d-cuboids/ #Annotation #Artificial_Inteligence #Autonomous_Vehicles #Cuboid #Training_Ai

[seattlereddit]

Autonomous Vehicles

https://www.reddit.com/r/SeattleWA/comments/bggj0s/autonomous_vehicles/?utm_source=dlvr.it&utm_medium=tumblr

[nihaozin]

@mattschulz: RT @insideGNSS: “On the Road to Autonomy” Webinar and Virtual Workshop Takes Place Dec. 12 https://t.co/5GB6BDS9O1 .@hexagon_pi .@InsideUnmanned #driverless #autonomous_vehicles .@novatelinc https://t.co/t2KAuOpSsg

[techholo]

New Post has been published on https://www.techholo.com/2017/06/15/lisnr-and-pilot-join-jaguar-land-rover-incubator/

LISNR and PILOT join Jaguar Land Rover incubator

Jaguar Land Rover has brought two new startups into its Portland Tech Incubator: LISNR and PILOT Automotive Labs. Previous cohorts at the incubator have ranged from parking apps to drones; these two continue to build on JLR’s creative approach to the automotive future.

LISNR uses ultrasonic audio to transmit data. That’s right — it transmits and receives sounds we can’t hear. LISNR calls them Smart Tones. Any two devices — two vehicles’ black boxes, say, or a car and a pedestrian with an enabled smartphone in their pocket — can send and receive messages once they’re in range of each other. All the devices need is a microphone or a speaker, depending on whether they’re sending or receiving, which keeps their power requirements low.

LISNR is already being used in non-automotive applications, like the Cincinnati Contemporary Arts Center. The company was also part of the inaugural AutoMobili-D startup expo at the 2017 North America International Auto Show in…

Continue reading on TechCrunch… Source: TechCrunch

Disclaimer: All photos and content are under the right of TechCrunch.

#Automotive, #Autonomous_Vehicles, #Jaguar_Land_Rover, #LISNR, #V2V

[phonemantra-blog]

The car will appear closer to 2030 The Apple Car won't be coming out for years, Bloomberg's Mark Gurman reported. He noted that the company is still working on it, but the Apple Car will appear closer to 2030, without specifying a more specific time window. [caption id="attachment_79769" align="aligncenter" width="780"] Apple Car[/caption] How long until the Apple Car comes out? Bloomberg version Gurman's comment follows another statement by renowned analyst Ming-Chi Kuo in late September. He noted that the project is not currently considered promising and expressed doubt that the Apple Car will be able to go into mass production in the coming years. In March, Kuo said the Apple Car team had disbanded and that the car's 2025 launch was in jeopardy.

[nihaozin]

@TylerHHaywood: RT @insideGNSS: “On the Road to Autonomy” Webinar and Virtual Workshop Takes Place Dec. 12 https://t.co/5GB6BDS9O1 .@hexagon_pi .@InsideUnmanned #driverless #autonomous_vehicles .@novatelinc https://t.co/t2KAuOpSsg

[nihaozin]

@ArashTrs: RT @insideGNSS: “On the Road to Autonomy” Webinar and Virtual Workshop Takes Place Dec. 12 https://t.co/5GB6BDS9O1 .@hexagon_pi .@InsideUnmanned #driverless #autonomous_vehicles .@novatelinc https://t.co/t2KAuOpSsg

[nihaozin]

@insideGNSS: “On the Road to Autonomy” Webinar and Virtual Workshop Takes Place Dec. 12 https://t.co/5GB6BDS9O1 .@hexagon_pi .@InsideUnmanned #driverless #autonomous_vehicles .@novatelinc https://t.co/Z0HpEWQSI9

[nihaozin]

@sassafras4ucom: 34 (4-28): #Uber stops #AV testing "indefinitely" in #California, #Pennsylvania, and #Toronto. #autonomous_vehicle #selfdriving #driverless