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Autonomous Driving: What You Need to Know - ZF Autonomous driving normally refers to self-driving vehicles or transport systems that move without the intervention of a human driver. · The five levels of ... https://www.zf.com/mobile/en/technologies/domains/autonomous_driving/autonomous_driving.html

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Self-driving car - Wikipedia A self-driving car, also known as an autonomous vehicle (AV), driverless car, or robo-car is a vehicle that is capable of sensing its environment and moving ... https://en.wikipedia.org/wiki/Self-driving_car

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Autonomous Driving at Intel 3 days ago ... Unique in the industry, Mobileye's business model encompasses the entire automated driving value chain, including the front-facing camera ... https://newsroom.intel.com/press-kits/autonomous-driving-intel/

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Automated Vehicles for Safety | NHTSA This includes everything from no automation (where a fully engaged driver is required at all times), to full autonomy (where an automated vehicle operates ... https://www.nhtsa.gov/technology-innovation/automated-vehicles-safety

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Full Self-Driving - YouTube Apr 22, 2019 ... Full Self-Driving. Watch later. Share. Copy link. Info. Shopping. Tap to unmute. If playback doesn't begin shortly, try restarting your device. https://www.youtube.com/watch?v=tlThdr3O5Qo

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Ten ways autonomous driving could redefine the automotive world ... Jun 1, 2015 ... The development of self-driving, or autonomous, vehicles is accelerating. Here's how they could affect consumers and companies. https://www.mckinsey.com/industries/automotive-and-assembly/our-insights/ten-ways-autonomous-driving-could-redefine-the-automotive-world

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Self-Driving Cars 101 | Union of Concerned Scientists Self-driving vehicles are cars or trucks in which human drivers are never required to take control to safely operate the vehicle. Also known as autonomous or ... https://www.ucsusa.org/resources/self-driving-cars-101

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The 6 Levels of Vehicle Autonomy Explained | Synopsys Automotive Before merging onto roadways, self-driving cars will have to progress through 6 levels of driver assistance technology advancements. SAE defines 6 levels of ... https://www.synopsys.com/automotive/autonomous-driving-levels.html

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Autonomous driving – 5 steps to the self-driving car Fully Automated Driving. Level 4 is considered to be fully autonomous driving, although a human driver can still request control, and the car still has a cockpit. In ... https://www.bmw.com/en/automotive-life/autonomous-driving.html

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Waymo: Home Waymo—formerly the Google self-driving car project—stands for a new way forward in mobility. Our mission is to make it safe and easy for people and things to ... https://waymo.com/

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Waymo: Home Waymo—formerly the Google self-driving car project—stands for a new way forward in mobility. Our mission is to make it safe and easy for people and things to ... https://waymo.com/

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Automated Driving Is Powered by Intel Autonomous Cars You Can Trust. Intel® technologies power millions of in- vehicle experiences today, and nearly all autonomous test vehicles. Are you ready for ... https://www.intel.com/content/www/us/en/automotive/autonomous-vehicles.html

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nuScenes: A multimodal dataset for autonomous driving Mar 26, 2019 ... Most autonomous vehicles, however, carry a combination of cameras and range sensors such as lidar and radar. As machine learning based ... https://arxiv.org/abs/1903.11027

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Cars That Are Almost Self-Driving | U.S. News & World Report Oct 22, 2020 ... These Vehicles Can Almost Drive Themselves. There is no such thing as a self- driving car. ADVERTISEMENT – CONTINUE READING BELOW. https://cars.usnews.com/cars-trucks/cars-that-are-almost-self-driving

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Autonomous Driving | audi.com Relaxed driving, more road safety, less congestion and environmental impact: Autonomous driving, thanks to its many advantages, is one of the most important ... https://www.audi.com/en/experience-audi/mobility-and-trends/autonomous-driving.html

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Multi-View 3D Object Detection Network for Autonomous Driving Nov 23, 2016 ... This paper aims at high-accuracy 3D object detection in autonomous driving scenario. We propose Multi-View 3D networks (MV3D), a sensory- ... https://arxiv.org/abs/1611.07759

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Autonomous Driving | Qualcomm The Qualcomm® Snapdragon Ride™ Platform is one of the automotive industry's most advanced, scalable and fully customizable automated driving platforms. https://www.qualcomm.com/products/automotive/autonomous-driving

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Moral Machine A platform for gathering a human perspective on moral decisions made by machine intelligence, such as self-driving cars. We show you moral dilemmas, where ... http://moralmachine.mit.edu/

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5G network as foundation for autonomous driving | Deutsche Telekom A few years ago, self-propelled cars were merely a vision in a science fiction film. Today, the first semi-automated vehicles with various assistance systems drive ... https://www.telekom.com/en/company/details/5g-network-as-foundation-for-autonomous-driving-561986

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Autopilot | Tesla All Tesla vehicles produced in our factory, including Model 3, have the hardware needed for full self-driving capability at a safety level substantially greater than ... https://www.tesla.com/autopilot

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Non-cell-autonomous driving of tumour growth supports sub-clonal ... Non-cell-autonomous driving of tumour growth supports sub-clonal heterogeneity . Nature. 2014 Oct 2;514(7520):54-8. doi: 10.1038/nature13556. Epub 2014 Jul ... https://pubmed.ncbi.nlm.nih.gov/25079331/

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ADAS & Automated Driving Magna's automated driving systems provide a safer and more comfortable driving experience. Already, our technologies are giving drivers active guidance ... https://www.magna.com/products/power-vision/adas-automated-driving

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ADAS, Viewing & Autonomous Vehicles These automated vehicles have the capabilities to actively assist the driver in the operation of the vehicle and prevention of accidents. ON Semiconductor ... https://www.onsemi.com/solution/automotive/adas-viewing-autonomous-vehicles

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USDOT Automated Vehicles Activities | US Department of ... 5 days ago ... Building upon the principles stated in AV 4.0, the plan defines three goals to achieve this vision for Automated Driving Systems (ADS): Promote ... https://www.transportation.gov/AV

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When Will Self-Driving Cars Be Available 2020? May 15, 2020 ... The State of the Self-Driving Car Race 2020. Waymo is still the one to beat. But in a post-Covid world, autonomous will enable more of our ... https://www.bloomberg.com/features/2020-self-driving-car-race/

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NYSE® FactSet® Global Autonomous Driving and Electric Vehicle ... Jan 25, 2019 ... Autonomous Driving and Electric Vehicle industry that are listed for trading and electronically quoted on a major stock market that is accessible ... https://www.theice.com/publicdocs/data/NYSE_FactSet_Global_Autonomous_Driving_and_Electric_Vehicle_Index.pdf

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Autonomous Vehicles - California DMV We developed the Autonomous Vehicle Tester Program in 2014 to allow manufacturers to test autonomous vehicles with a human in the driver seat. In 2018, we ... https://www.dmv.ca.gov/portal/vehicle-industry-services/autonomous-vehicles/

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"Safety First for Automated Driving” (SaFAD) | Daimler > Innovation ... Jul 2, 2019 ... Vehicle-Initiated Handover: If the driver does not comply with a takeover request, the automated driving system must perform a maneuver to ... https://www.daimler.com/innovation/case/autonomous/safety-first-for-automated-driving-2.html

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Uber Sells Self-Driving-Car Unit to Autonomous-Driving Startup - WSJ Dec 7, 2020 ... Uber sold its self-driving-car unit to Aurora Innovation, in the ride-hailing company's latest business exit as it aims to deliver on a promise to ... https://www.wsj.com/articles/uber-sells-self-driving-car-unit-to-autonomous-driving-startup-11607380167

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Self-Driving Cars Technology & Solutions | NVIDIA Automotive Autonomous car developers use NVIDIA DRIVE car technology to teach self- driving cars to see, think, and learn. Read more. https://www.nvidia.com/en-us/self-driving-cars/

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Tesla 'very close' to level 5 autonomous driving technology, Musk says Jul 8, 2020 ... U.S. electric vehicle maker Tesla Inc is "very close" to achieving level 5 autonomous driving technology, Chief Executive Elon Musk said on ... https://www.reuters.com/article/us-tesla-autonomous/tesla-very-close-to-level-5-autonomous-driving-technology-musk-says-idUSKBN24A0HE

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Autonomous Driving | SpringerLink This book takes a look at fully automated, autonomous vehicles and discusses many open questions: How can autonomous vehicles be integrated into the ... https://link.springer.com/book/10.1007/978-3-662-48847-8

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Autonomous Driving – ICCV'19 Workshop, Seoul, Korea Autonomous driving (AD) will have a substantial impact on people's daily life, both personally and professionally. As such, developing automated vehicles is ... https://adworkshop.org/

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Automotive | ADAS and Autonomous Driving - Amazon Web ... - AWS Developing and deploying Advanced Driver Assistance and Autonomous Vehicle Systems requires the ability to collect, store and manage massive amounts of ... https://aws.amazon.com/automotive/autonomous-driving/

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Driving to Safety: How Many Miles of Driving Would It Take to ... degrees of autonomy. The Society for Automotive Engineers Interna- tional (2014 ), for example, defines three levels of automated driving. Vehicles with " ... https://www.rand.org/content/dam/rand/pubs/research_reports/RR1400/RR1478/RAND_RR1478.pdf

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Machine Learning for Autonomous Driving Welcome to the NeurIPS 2020 Workshop on Machine Learning for Autonomous Driving! Autonomous vehicles (AVs) offer a rich source of high-impact research ... https://ml4ad.github.io/

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Autonomous Mobility - Aptiv Aptiv is focused on developing and commercializing autonomous vehicles and ... 98% of passengers rating their Aptiv self-driving experience 5-out-of-5 stars. https://www.aptiv.com/en/solutions/autonomous-mobility

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Automated mobility - Bosch is teaching the vehicle how to drive Automated vehicles must be able to perceive and interpret their surroundings ( Sense). Fully automated driving requires a vehicle to have over 40 sensors like ... https://www.bosch-mobility-solutions.com/en/highlights/automated-mobility/

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Autonomous driving technology | DXC Technology Autonomous driving technology. Gaining speed in the race to develop fully autonomous vehicles. We enable autonomous driving research and development ... https://www.dxc.technology/autonomous_driving_technology

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Why you'll hear us saying fully autonomous driving tech from now on Jan 6, 2021 ... We're hopeful that consistency will help differentiate the fully autonomous technology Waymo is developing from driver-assist technologies ( ... https://blog.waymo.com/2021/01/why-youll-hear-us-say-autonomous-driving.html

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The higher is the network's structure diversity and the higher is the alpha in the influence propagation score, the higher is its mind-viral immunity — that is, such network will be more resilient and adaptive than a less diverse one.

In case of a discourse network, high mind-viral immunity means that the text proposes multiple points of view and propagates its influence using both highly influential concepts and smaller, secondary topics.
The higher is the diversity, the more distinct communities (topics) there are in this network, the more likely it will be pluralist.
The network structure indicates the level of its diversity. It is based on the modularity measure (>0.4 for medium, >0.65 for high modularity, measured with Louvain (Blondel et al 2008) community detection algorithm) in combination with the measure of influence distribution (the entropy of the top nodes' distribution among the top clusters), as well as the the percentage of nodes in the top community.

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Influence Distribution
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Topics Nodes in Top Topic Components Nodes in Top Comp
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Nodes Av Degree Density Weighed Betweenness
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Narrative Influence Propagation:
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The chart above shows how influence propagates through the network. X-axis: lemma to lemma step (narrative chronology). Y-axis: change of influence.

The more even and rhythmical this propagation is, the stronger is the central idea or agenda (see alpha exponent below ~ 0.5 or less).

The more variability can be seen in the propagation profile, the less is the reliance on the main concepts (agenda), the stronger is the role of secondary topical clusters in the narrative.
propagation dynamics: | alpha exponent: (based on Detrended Fluctuation Analysis of influence) ?   show the chart
We plot the narrative as a time series of influence (using the words' betweenness score). We then apply detrended fluctuation analysis to identify fractality of this time series, plotting the log2 scales (x) to the log2 of accumulated fluctuations (y). If the resulting loglog relation can be approximated on a linear polyfit, there may be a power-law relation in how the influence propagates in this narrative over time (e.g. most of the time non-influential words, occasionally words with a high influence).

Using the alpha exponent of the fit (which is closely related to Hurst exponent)), we can better understand the nature of this relation: uniform (pulsating | alpha <= 0.65), variable (stationary, has long-term correlations | 0.65 < alpha <= 0.85), fractal (adaptive | 0.85 < alpha < 1.15), and complex (non-stationary | alpha >= 1.15).

For maximal diversity, adaptivity, and plurality, the narrative should be close to "fractal" (near-critical state). For fiction, essays, and some forms of poetry — "uniform". Informative texts will often have "variable + stationary" score. The "complex" state is an indicator that the text is always shifting its state.

Degree Distribution:
  calculate & show   ?
(based on kolmogorov-smirnov test) ?   switch to linear
Using this information, you can identify whether the network has scale-free / small-world (long-tail power law distribution) or random (normal, bell-shaped distribution) network properties.

This may be important for understanding the level of resilience and the dynamics of propagation in this network. E.g. scale-free networks with long degree tails are more resilient against random attacks and will propagate information across the whole structure better.
If a power-law is identified, the nodes have preferential attachment (e.g. 20% of nodes tend to get 80% of connections), and the network may be scale-free, which may indicate that it's more resilient and adaptive. Absence of power law may indicate a more equalized distribution of influence.

Kolmogorov-Smirnov test compares the distribution above to the "ideal" power-law ones (^1, ^1.5, ^2) and looks for the best fit. If the value d is below the critical value cr it is a sign that the both distributions are similar.
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Main Keywords in Context
(tend to co-occur together in clusters):
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+     full stats   ?

The topics are the nodes (words) that tend to co-occur together in the same context (next to each other).

We use a combination of clustering and graph community detection algorithm (Blondel et al based on Louvain) to identify the groups of nodes are more densely connected together than with the rest of the network. They are aligned closer to each other on the graph and are given a distinct color.
Most Influential Keywords
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+     Reveal Nonobvious   ?

We use the Jenks elbow cutoff algorithm to select the top prominent nodes that have significantly higher influence than the rest.

Click the Reveal Non-obvious button to remove the most influential words (or the ones you select) from the graph, to see what terms are hiding behind them.

The most influential nodes are either the ones with the highest betweenness centrality — appearing most often on the shortest path between any two randomly chosen nodes (i.e. linking the different distinct communities) — or the ones with the highest degree.
Discourse Structure:
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Enrich the Current Discourse
(write the content that will link these two topics):
N/A
Reveal the Gap   Generate a Question   ?
 
The structural gap between the two topics above shows the two distinct communities (clusters of words) in this graph that are important, but not yet connected. That's where the new potential and innovative ideas may reside.

This measure is based on a combination of the graph's connectivity and community structure, selecting the groups of nodes that would either make the graph more connected if it's too dispersed or that would help maintain diversity if it's too connected.

Full Keywords Data
:
 
⤓ Download as CSV  ⤓ Download an Excel File

Top Relations
(both directions):

⤓ Download   ⤓ Directed Bigrams CSV   ?

The most prominent relations between the nodes that exist in this graph are shown above. We treat the graph as undirected by default as it allows us to better detect general patterns.

As an option, you can also downloaded directed bigrams above, in case the direction of the relations is important (for any application other than language).
Please, enter a search query to visualize the difference between what people search for (related queries) and what they actually find (search results):

 
We will build two graphs:
1) Google search results for your query;
2) Related searches for your query (Google's SERP);
Click the Missing Content tab to see the graph that shows the difference between what people search for and what they actually find, indicating the content you could create to fulfil this gap.
Find a market niche for a certain product, category, idea or service: what people are looking for but cannot yet find*

 
We will build two graphs:
1) the content that already exists when you make this search query (informational supply);
2) what else people are searching for when they make this query (informational demand);
You can then click the Niche tab to see the difference between the supply and the demand — what people need but do not yet find — the opportunity gap to fulfil.
Please, enter your query to visualize the search results as a graph, so you can learn more about this topic:

 
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