Difference between revisions of "Transportation (Autonomous Vehicles)"
m |
m |
||
| (29 intermediate revisions by the same user not shown) | |||
| Line 2: | Line 2: | ||
|title=PRIMO.ai | |title=PRIMO.ai | ||
|titlemode=append | |titlemode=append | ||
| − | |keywords=artificial, intelligence, machine, learning, models | + | |keywords=ChatGPT, artificial, intelligence, machine, learning, GPT-4, GPT-5, NLP, NLG, NLC, NLU, models, data, singularity, moonshot, Sentience, AGI, Emergence, Moonshot, Explainable, TensorFlow, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Hugging Face, OpenAI, Tensorflow, OpenAI, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Meta, LLM, metaverse, assistants, agents, digital twin, IoT, Transhumanism, Immersive Reality, Generative AI, Conversational AI, Perplexity, Bing, You, Bard, Ernie, prompt Engineering LangChain, Video/Image, Vision, End-to-End Speech, Synthesize Speech, Speech Recognition, Stanford, MIT |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools |
| − | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | + | |
| + | <!-- Google tag (gtag.js) --> | ||
| + | <script async src="https://www.googletagmanager.com/gtag/js?id=G-4GCWLBVJ7T"></script> | ||
| + | <script> | ||
| + | window.dataLayer = window.dataLayer || []; | ||
| + | function gtag(){dataLayer.push(arguments);} | ||
| + | gtag('js', new Date()); | ||
| + | |||
| + | gtag('config', 'G-4GCWLBVJ7T'); | ||
| + | </script> | ||
}} | }} | ||
[http://www.youtube.com/results?search_query=autonomous+vehicles+self-driving+transportation+artificial+intelligence+deep+learning Youtube search...] | [http://www.youtube.com/results?search_query=autonomous+vehicles+self-driving+transportation+artificial+intelligence+deep+learning Youtube search...] | ||
[http://www.google.com/search?q=autonomous+vehicles+self-driving+transportation+deep+machine+learning+ML ...Google search] | [http://www.google.com/search?q=autonomous+vehicles+self-driving+transportation+deep+machine+learning+ML ...Google search] | ||
| + | * [[Robotics]] ... [[Transportation (Autonomous Vehicles)|Vehicles]] ... [[Autonomous Drones|Drones]] ... [[3D Model]] ... [[Point Cloud]] | ||
| + | * [[Simulation]] ... [[Simulated Environment Learning]] ... [[World Models]] ... [[Minecraft]]: [[Minecraft#Voyager|Voyager]] | ||
* [[Case Studies]] | * [[Case Studies]] | ||
| + | ** [[Agriculture#Tractor| Agriculture - Tractor]] ... AI Tractors | ||
** [[Smart Cities]] | ** [[Smart Cities]] | ||
| − | ** [[ | + | ** [[Travel & Tourism]] |
| − | * | + | * [[Cybersecurity]] ... [[Open-Source Intelligence - OSINT |OSINT]] ... [[Cybersecurity Frameworks, Architectures & Roadmaps | Frameworks]] ... [[Cybersecurity References|References]] ... [[Offense - Adversarial Threats/Attacks| Offense]] ... [[National Institute of Standards and Technology (NIST)|NIST]] ... [[U.S. Department of Homeland Security (DHS)| DHS]] ... [[Screening; Passenger, Luggage, & Cargo|Screening]] ... [[Law Enforcement]] ... [[Government Services|Government]] ... [[Defense]] ... [[Joint Capabilities Integration and Development System (JCIDS)#Cybersecurity & Acquisition Lifecycle Integration| Lifecycle Integration]] ... [[Cybersecurity Companies/Products|Products]] ... [[Cybersecurity: Evaluating & Selling|Evaluating]] |
| − | |||
* [[Reinforcement Learning - Games, Self-driving Vehicles, Drones, Robotics, Management, Finance]] | * [[Reinforcement Learning - Games, Self-driving Vehicles, Drones, Robotics, Management, Finance]] | ||
* [http://deepindex.org/#Transport Deepindex.org list] | * [http://deepindex.org/#Transport Deepindex.org list] | ||
| − | * [[ | + | * [[Assessing Damage#Vehicle| Assessing vehicle damage]] |
* [http://en.wikipedia.org/wiki/Driverless_cars Driverless Cars | Wikipedia] | * [http://en.wikipedia.org/wiki/Driverless_cars Driverless Cars | Wikipedia] | ||
| + | * [[Time#Navigation Aids|Navigation Aids]] | ||
| + | ** [[Time]] ... [[Time#Positioning, Navigation and Timing (PNT)|PNT]] ... [[Time#Global Positioning System (GPS)|GPS]] ... [[Causation vs. Correlation#Retrocausality| Retrocausality]] ... [[Quantum#Delayed Choice Quantum Eraser|Delayed Choice Quantum Eraser]] ... [[Quantum]] | ||
* [http://medium.com/@Synced/baidu-introduces-apollo-enterprise-at-ces-accelerate-the-commercialization-of-intelligent-5643803f0173 Baidu Introduces Apollo Enterprise at CES: “Accelerate the Commercialization of Intelligent Driving” | Baidu Inc] | * [http://medium.com/@Synced/baidu-introduces-apollo-enterprise-at-ces-accelerate-the-commercialization-of-intelligent-5643803f0173 Baidu Introduces Apollo Enterprise at CES: “Accelerate the Commercialization of Intelligent Driving” | Baidu Inc] | ||
| − | * [http://lexfridman.com/ Select research: papers, demos, and talks | Lex Fridman - MIT | + | * [http://lexfridman.com/ Select research: papers, demos, and talks |] [[Creatives#Lex Fridman|Lex Fridman]] - MIT |
* [http://www.forbes.com/sites/bernardmarr/2019/05/17/the-amazing-ways-the-ford-motor-company-uses-artificial-intelligence-and-machine-learning/#124264d1e49a The Amazing Ways The Ford Motor Company Uses Artificial Intelligence And Machine Learning | Bernard Marr - Forbes] | * [http://www.forbes.com/sites/bernardmarr/2019/05/17/the-amazing-ways-the-ford-motor-company-uses-artificial-intelligence-and-machine-learning/#124264d1e49a The Amazing Ways The Ford Motor Company Uses Artificial Intelligence And Machine Learning | Bernard Marr - Forbes] | ||
* [http://www.forbes.com/sites/bernardmarr/2019/06/14/the-amazing-ways-hitachi-uses-artificial-intelligence-and-machine-learning/#226d2de13705 Stena Line, one of the largest European shipping companies, and Hitachi have partnered to improve ship fuel efficiency | Bernard Marr - Forbes] | * [http://www.forbes.com/sites/bernardmarr/2019/06/14/the-amazing-ways-hitachi-uses-artificial-intelligence-and-machine-learning/#226d2de13705 Stena Line, one of the largest European shipping companies, and Hitachi have partnered to improve ship fuel efficiency | Bernard Marr - Forbes] | ||
| Line 24: | Line 37: | ||
* [http://www.zdnet.com/article/elephants-vs-trains-this-is-how-ai-helps-ensure-they-dont-collide/ Elephants vs trains: This is how AI helps ensure they don't collide | Anna Solana - IT Iberia] ...An acoustic detector developed using machine learning helps stop elephants getting hit by trains in India. | * [http://www.zdnet.com/article/elephants-vs-trains-this-is-how-ai-helps-ensure-they-dont-collide/ Elephants vs trains: This is how AI helps ensure they don't collide | Anna Solana - IT Iberia] ...An acoustic detector developed using machine learning helps stop elephants getting hit by trains in India. | ||
* [http://www.zdnet.com/article/ai-based-traffic-management-gets-green-light/ AI-based traffic management gets green light | Greg Nichols - Robotics] ...a traffic grid management system to improve traffic flow and reduce vehicle delays | * [http://www.zdnet.com/article/ai-based-traffic-management-gets-green-light/ AI-based traffic management gets green light | Greg Nichols - Robotics] ...a traffic grid management system to improve traffic flow and reduce vehicle delays | ||
| + | * [http://www.barrons.com/articles/xpeng-stock-is-rallying-heres-how-much-the-ev-industry-is-worth-51598639129 Xpeng Stock Is Hot. Here’s How Much the EV Industry Is Worth. | Al Root - Barron's] ...Xpeng P7 all-electric sports sedan has level 3 automated driving features powered by [[NVIDIA]] DRIVE's AGX Xavier AI compute platform. | ||
| + | * [https://wlockett.medium.com/mercedes-just-embarrassed-tesla-de4062ef252b Mercedes Just Embarrassed Tesla | Will Lockett - Medium] ... Mercedes has beaten them all to the punch and will be the first to offer Level 3 autonomous driving to the US market. Level 3, also known as conditional automation, takes this to the next step. You can take your hands off the steering wheel and focus your attention on something else, like watching a film or eating, but only in certain situations. Audi's A8L is the first Level 3 system. | ||
| + | * [https://wayve.ai/thinking/scaling-gaia-1/ Scaling GAIA-1: 9-billion parameter generative world model for autonomous driving | Wayve] ... ability to generate videos at higher resolution and improve the world model’s quality with larger-scale training | ||
| + | |||
| + | |||
| + | <hr><center><b><i> | ||
| + | Self-driving cars will enable car-sharing even in spread-out suburbs. A car will come to you just when you need it. And when you are done with it, the car will just drive away, so you won’t even have to look for parking.</i></b> – Sebastian Thrun, CEO of Udacity and a Google engineer who has been called the father of self-driving cars | ||
| − | === MIT Series | + | </center><hr> |
| + | |||
| + | |||
| + | = Forward Thinking = | ||
| + | |||
| + | <youtube>NSDTZQdo6H8</youtube> | ||
| + | <youtube>eWHFiEP2NcQ</youtube> | ||
| + | <youtube>B6h1LZsvzus</youtube> | ||
| + | <youtube>tiwVMrTLUWg</youtube> | ||
| + | <youtube>FKa2vT-pVyY</youtube> | ||
| + | <youtube>XEebyt6G5kM</youtube> | ||
| + | <youtube>OlLFK8oSNEM</youtube> | ||
| + | |||
| + | = MIT Series = | ||
* [http://cars.mit.edu Deep Learning and Self-Driving Cars] | * [http://cars.mit.edu Deep Learning and Self-Driving Cars] | ||
| Line 35: | Line 68: | ||
<youtube>_OCjqIgxwHw</youtube> | <youtube>_OCjqIgxwHw</youtube> | ||
<youtube>CLOAswsxudo</youtube> | <youtube>CLOAswsxudo</youtube> | ||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
= Traffic Prediction = | = Traffic Prediction = | ||
| Line 52: | Line 77: | ||
= Car Price Prediction = | = Car Price Prediction = | ||
| + | [[Forecasting]] | ||
<youtube>p_tpQSY1aTs</youtube> | <youtube>p_tpQSY1aTs</youtube> | ||
| Line 57: | Line 83: | ||
<youtube>6GzvLXmBuV4</youtube> | <youtube>6GzvLXmBuV4</youtube> | ||
<youtube>ZhGDcTOzAFM</youtube> | <youtube>ZhGDcTOzAFM</youtube> | ||
| + | |||
| + | = Surround Vision = | ||
| + | The Chevy Equinox's HD Surround Vision feature uses multiple cameras to create a digital overhead view of the vehicle's surroundings: | ||
| + | * Cameras - The Equinox uses four cameras to create the overhead view: one in the front grille, two on the side mirrors, and one in the rear. | ||
| + | * Image processing - The cameras feed video signals to an image-processing program in the vehicle's computer. The program analyzes and combines the images to create a synthetic, top-down view. | ||
| + | * Display - The overhead view is displayed on the vehicle's infotainment system. The display may also show the front or rear camera view in addition to the overhead view, depending on the vehicle's gear and speed. | ||
| + | |||
| + | he HD Surround Vision feature is useful for parking, navigating tight spaces, and being aware of hazards. It works at low speeds, similar to the vehicle's front and rear park assist | ||
| + | |||
| + | <youtube>5IflJEBpyRU</youtube> | ||
Latest revision as of 07:52, 4 October 2024
Youtube search... ...Google search
- Robotics ... Vehicles ... Drones ... 3D Model ... Point Cloud
- Simulation ... Simulated Environment Learning ... World Models ... Minecraft: Voyager
- Case Studies
- Agriculture - Tractor ... AI Tractors
- Smart Cities
- Travel & Tourism
- Cybersecurity ... OSINT ... Frameworks ... References ... Offense ... NIST ... DHS ... Screening ... Law Enforcement ... Government ... Defense ... Lifecycle Integration ... Products ... Evaluating
- Reinforcement Learning - Games, Self-driving Vehicles, Drones, Robotics, Management, Finance
- Deepindex.org list
- Assessing vehicle damage
- Driverless Cars | Wikipedia
- Navigation Aids
- Time ... PNT ... GPS ... Retrocausality ... Delayed Choice Quantum Eraser ... Quantum
- Baidu Introduces Apollo Enterprise at CES: “Accelerate the Commercialization of Intelligent Driving” | Baidu Inc
- Select research: papers, demos, and talks | Lex Fridman - MIT
- The Amazing Ways The Ford Motor Company Uses Artificial Intelligence And Machine Learning | Bernard Marr - Forbes
- Stena Line, one of the largest European shipping companies, and Hitachi have partnered to improve ship fuel efficiency | Bernard Marr - Forbes
- The ‘Android Of Self-Driving Cars’ Built A 100,000X Cheaper Way To Train AI For Multiple Trillion-Dollar Markets | John Koetsier - Forbes
- Elephants vs trains: This is how AI helps ensure they don't collide | Anna Solana - IT Iberia ...An acoustic detector developed using machine learning helps stop elephants getting hit by trains in India.
- AI-based traffic management gets green light | Greg Nichols - Robotics ...a traffic grid management system to improve traffic flow and reduce vehicle delays
- Xpeng Stock Is Hot. Here’s How Much the EV Industry Is Worth. | Al Root - Barron's ...Xpeng P7 all-electric sports sedan has level 3 automated driving features powered by NVIDIA DRIVE's AGX Xavier AI compute platform.
- Mercedes Just Embarrassed Tesla | Will Lockett - Medium ... Mercedes has beaten them all to the punch and will be the first to offer Level 3 autonomous driving to the US market. Level 3, also known as conditional automation, takes this to the next step. You can take your hands off the steering wheel and focus your attention on something else, like watching a film or eating, but only in certain situations. Audi's A8L is the first Level 3 system.
- Scaling GAIA-1: 9-billion parameter generative world model for autonomous driving | Wayve ... ability to generate videos at higher resolution and improve the world model’s quality with larger-scale training
Self-driving cars will enable car-sharing even in spread-out suburbs. A car will come to you just when you need it. And when you are done with it, the car will just drive away, so you won’t even have to look for parking. – Sebastian Thrun, CEO of Udacity and a Google engineer who has been called the father of self-driving cars
Contents
Forward Thinking
MIT Series
Traffic Prediction
Car Price Prediction
Surround Vision
The Chevy Equinox's HD Surround Vision feature uses multiple cameras to create a digital overhead view of the vehicle's surroundings:
- Cameras - The Equinox uses four cameras to create the overhead view: one in the front grille, two on the side mirrors, and one in the rear.
- Image processing - The cameras feed video signals to an image-processing program in the vehicle's computer. The program analyzes and combines the images to create a synthetic, top-down view.
- Display - The overhead view is displayed on the vehicle's infotainment system. The display may also show the front or rear camera view in addition to the overhead view, depending on the vehicle's gear and speed.
he HD Surround Vision feature is useful for parking, navigating tight spaces, and being aware of hazards. It works at low speeds, similar to the vehicle's front and rear park assist
