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"Short-Term Lateral Behavior Reasoning for Target Vehicles Considering " by Zhisong Zhou, Yafei Wang et al.

A timely understanding of target vehicles (TVs) lateral behavior is essential for the decision-making and control of host vehicle. Existing physical model-based methods such as motion-based method and multiple centerline-based method are generally constructed based on TV pose and longitudinal velocity, and tend to ignore TV preview driving characteristic and other useful information such as lateral velocity and yaw rate. To address these issues, a driver preview and multiple centerline model-based probabilistic behavior recognition architecture is proposed for timely and accurate TV lateral behavior prediction. Firstly, a driver preview model is used to describe vehicle preview driving characteristic, and TV preview lateral offset and preview lateral velocity are calculated with TV states and road reference information. Then, the preview lateral offset and preview lateral velocity are combined with multiple centerline model for TV lateral behavior reasoning based on the interacting mul ....

Autonomous Vehicles , Ehavior Reasoning , River Preview Model , Hidden Markov Models , Ateral Behavior , Predictive Models , Robabilistic Logic ,

The evolution of speech recognition technology

The evolution of speech recognition technology
techradar.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from techradar.com Daily Mail and Mail on Sunday newspapers.

Michael Knight , Fred Jelinek , Mike Cohen , Graeme John Cole , Eric Decker , Carnegie Mellon , James Flanagan , Department Of Defense , Kyoto University , Speech Understanding Research , Knight Industries , Recurrent Neural Networks Rnns , Bell Lab Voice Recognition Call Processing , Knight Rider , Blade Runner Eric Decker , John Cole , Bell Labs , Recognition System , Hidden Markov Models , Dragon Dictate , Dragon Naturally Speaking , Voice Search , Recurrent Neural Networks ,

Critique of 2018 Turing Award for Drs. Bengio & Hinton & LeCun

Conclusion (~1,700 words).
All backed up by over 200 references (~6,500 words).
We must stop crediting the wrong people for inventions made by others.
Instead let s heed the recent call in the journal
Nature:
Let 2020 be the year in which we value those who ensure that
science is self-correcting [SV20].
Like those who know me can testify, finding and citing original sources of scientific and technological innovations is important to me, whether they are mine or other people s [DL1][DL2][HIN][NASC1-9]. The present page is offered as a resource for computer scientists who share this inclination.
By grounding research in its true intellectual foundations and crediting the original inventors, ....

United States , Holland Library , New York , United Kingdom , British Columbia , Mountain View , San Diego , San Francisco , World University , Noord Holland , Andhra Pradesh , Baden Wüberg , Eteläuomen Läi , Brighton And Hove , University Of Colorado At Boulder , City Of , Comunidad Autonoma De Cataluna , Long Beach , Systemei Monatshefte , Technische Universit , Ivakhnenko Lapa , Sherrington Kirkpatrick , Terrence Sejnowski , Birkhaeuser Basel , Principia Mathematica , Konrad Zuse ,

Fewer accidents in capital since 20mph limit

Date Time
Fewer accidents in capital since 20mph limit
The number of road traffic collisions (RTCs) in Edinburgh has decreased since a 20mph speed limit was introduced in 2016, according to new research led by the University of St Andrews.
Dr Valentin Popov of the School of Mathematics and Statistics at the University of St Andrews with collaborators from the universities of Edinburgh, East Anglia and Cambridge introduced a cutting-edge methodology to identify shifts in the trend of RTCs and associate them with possible causes.
The research team investigated the effect of the policy on a city-wide scale, implicitly including spill-over effects. ....

United Kingdom , City Of , Paul Kelly , Glenna Nightingale , Michael Kelly , Ruth Jepson , Andrew James Williams , Karen Milton , Valentin Popov , United Kingdom Department For Transport Df , School Of Mathematics , University Of St Andrews , East Anglia , Hidden Markov Models , Generalised Additive Models , ஒன்றுபட்டது கிஂக்டம் , நகரம் ஆஃப் , பால் கெல்லி , க்ளென்ன நைட்டிங்கேல் , மைக்கேல் கெல்லி , ரூத் ஜெப்சன் , ஆண்ட்ரூ ஜேம்ஸ் வில்லியம்ஸ் , கரேன் மில்டன் , வாலண்டைன் போபவ் , ஒன்றுபட்டது கிஂக்டம் துறை க்கு போக்குவரத்து டப் , பள்ளி ஆஃப் கணிதம் ,