22 juin 2020

Beating Google, Tesla, this startup's self-driving truck is all set to hit Indian roads Read more at: https://economictimes.ind

Beating Google, Tesla, this startup's self-driving truck is all set to hit Indian roads While the global giants may have decided to stay away from the dusty and the pothole-ridden roads of India in their race to be hailed as the pioneers of self-driven technology; a young Bengaluru-based startup believes the chaotic, poorly-kept roads of India are ideal grounds for them to master their self-driving technology."For us, the more chaotic the roads are, the more data we get and the more trained our algorithm becomes. Indian roads are... [Lire la suite]
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21 juin 2020

About ADAS (Advanced Driving Support System) and AD (Autonomous Driving)

About ADAS (Advanced Driving Support System) and AD (Autonomous Driving) ADAS (Advanced Driving Support System) is a part of a big concept of AD (Autonomous Driving).Autonomous Driving is classified into five levels according to the degree of automation,Levels 1 and 2 are positioned as "driving support", and so-called " Autonomous Driving " which the system judges is Level 3 or higher.ADAS is a "driving support function" to the last, and when a human drives a car.It is a function to support how to avoid accidents and make it... [Lire la suite]
12 juin 2020

Autonomous Vehicle Technology May Improve Safety for U.S. Army Convoys Autonomous Vehicle

Autonomous Vehicle Technology May Improve Safety for U.S. Army Convoys   U.S. Army convoys could be made safer for soldiers by implementing autonomous vehicle technology to reduce the number of service members needed to operate the vehicles, according to a new study from the RAND Corporation.   “The Army is interested in autonomous technology because if they can reduce the number of soldiers needed to run a convoy, they can keep soldiers safe,” said Shawn McKay, lead author of the study and a senior... [Lire la suite]
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08 juin 2020

Designing Human-Machine Interface for Autonomous Vehicles

Designing Human-Machine Interface for Autonomous Vehicles This paper deals with Human-Machine Interface (HMI) design for autonomous vehicles. This automation level involves automated driving phases as well as transition phases where the driver has to reengage in the driving task. Each phase requires an appropriate interface to allow the driver to establish accurate situation awareness. The paper presents a methodology aiming to answer the following questions: what should be displayed, how and when? This methodology relies on the... [Lire la suite]
30 mai 2020

The State of the Self-Driving Car Race 2020

The State of the Self-Driving Car Race 2020 It turns out self-driving cars aren’t dissimilar from self-driving humans: It takes about 16 years for them to be ready for the road. Today, a generation removed from the seminal 2004 Darpa challenge in which the U.S. military launched a fleet of fledgling robot cars across the Mojave Desert, these machines are still trying to get their licenses. It’s taking much longer than initially promised, but analysts expect autonomous vehicles to mature quickly over the next decade. ... [Lire la suite]
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24 mai 2020

Emerging trends in the world of autonomous vehicles

Emerging trends in the world of autonomous vehicles The last few years have been favorable for the autonomous vehicle technology. Developing a driverless car has been a shared dream for Google, Apple, Tesla, Uber, and Lyft. For Uber and Lyft, autonomous cars are one of the means of cutting costs. However, saving big bucks are not the only benefits of autonomous cars. Factors such as lowering fuel consumption, reduce CO2 emission, and reduction in congestion are some of the major benefits of autonomous vehicles. According to a... [Lire la suite]

13 mai 2020

Asia Pacific Autonomous Cars Market

Asia Pacific Autonomous Cars Market Asia Pacific Autonomous Cars Market size in 2017 was assessed to be over 8 million units and is projected to grow at a CAGR of 15% over the forecast period.   The autonomous cars market in Asia Pacific is growing due to increasing investment by automakers to enhance safety features in the vehicles. With the rise in the number of road accidents, the market for autonomous cars is expected to grow. The tech companies such as Alibaba, Baidu, Didi Chuxing and Softbank are participating in... [Lire la suite]
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01 mai 2020

New Datasets to Accelerate Autonomous Driving Research

New Datasets to Accelerate Autonomous Driving Research In the past month, several companies announced they will release new high-quality datasets for autonomous driving. One of these datasets is Waymo Open Dataset which was introduced at top AI conference Computer Vision and Pattern Recognition (CVPR) 2019 in Long Beach, California In a talk at the CVPR 2019 Autonomous Driving Workshop, Waymo Principal Scientist said traditional open-source datasets like KITTI are too small and with little diversity... [Lire la suite]
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27 avril 2020

Autonomous Vehicles and ADAS Market 2020 Latest Trends Analysis by Key Companies, Global Share, Manufacturing Cost, and Forecast

Autonomous Vehicles and ADAS Market 2020 Latest Trends Analysis by Key Companies, Global Share, Manufacturing Cost, and Forecast to 2026 Pune, March 02, 2020 (GLOBE NEWSWIRE) -- Autonomous Vehicles and ADAS Market report provides complete information on industry production, sales, consumption status, and market prospects with respect to Autonomous Vehicles and ADAS market share analysis. Autonomous Vehicles and ADAS market analysis report consist of comprehensive study of ongoing Autonomous Vehicles and ADAS market growth... [Lire la suite]
21 avril 2020

A Game Changer for Road Safety: the Global Road Safety Platform by NEXYAD

A Game Changer for Road Safety: the Global Road Safety Platform by NEXYAD NEXYAD recently launched a Global Road Safety Platform that can assess driving risk, onboard, in real time, 20 times per second. This technology is a game changer for road safety: currently under deployment for telematics matters (fleet risk management, and Usag Based Insurance), it has been shown and validated that alerting driver when risk starts to increase a little to much can reduce accident rate by 20%. See figure below:   NEXYAD proactive... [Lire la suite]