An autonomous vehicle or a driverless car (as we say in a common term) is a vehicle that is capable of sensing its environment and navigating without human inputs. All major car makers of the world are busy in developing and taking a lead in Autonomous vehicle development. Companies like Google, Nissan, Tesla, Uber, Toyota, Volvo & BMW are taking a lead and already testing their prototypes.
This is a presentation that focuses on autonomous vehicles technology. The presentation describes key sensor technologies integrated under the bonnet of a driverless car. After a brief introduction, the presentation dwells deeper into each sensor technology demonstrating examples of self driving cars such as Google's self driving car, DARPA URBAN challenge etc., along the way. It also introduces the concept of electronic control units which is responsible for collecting data from different sensors and respond to other units accordingly. The slides also build a platform for vehicle to vehicle communication technology, types and its application areas.
Self driving car is a vehicle that drive without a human . self driving car can detect their surroundings by different technology just like radar , GPs , navigation, sensor and also computer .which helps the self driving car to drive it safely.
This is a presentation that focuses on autonomous vehicles technology. The presentation describes key sensor technologies integrated under the bonnet of a driverless car. After a brief introduction, the presentation dwells deeper into each sensor technology demonstrating examples of self driving cars such as Google's self driving car, DARPA URBAN challenge etc., along the way. It also introduces the concept of electronic control units which is responsible for collecting data from different sensors and respond to other units accordingly. The slides also build a platform for vehicle to vehicle communication technology, types and its application areas.
Self driving car is a vehicle that drive without a human . self driving car can detect their surroundings by different technology just like radar , GPs , navigation, sensor and also computer .which helps the self driving car to drive it safely.
Research presentation on Autonomous Driving. Direction perception approach.
Research work by Princeton University group.
Note: Link given in the presentation
Smart infrastructure for autonomous vehicles Jeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze how autonomous vehicles are becoming economic feasible. They are becoming economically feasible because the cost of lasers, ICs, MEMS, and other electronic components are falling at 25 to 40% per year. If the cost of autonomous vehicles fall 25% a year, the cost of the electronics associated with autonomous vehicles will fall 90% in 10 years. Dedicating roads to autonomous vehicles is necessary to achieve the most benefits from autonomous vehicles. While using autonomous vehicles in combination with conventional vehicles can free drivers for other activities, dedicating roads to autonomous vehicles can dramatically reduce congestion, increase speeds, and thus increase the number of cars per area of the road. They can also reduce accidents, insurance, and the number of traffic police. These slide discuss the use of wireless technologies for the control and coordination of autonomous vehicles. Improvements in bandwidth, speed, and latency (delays) along with improvements in computer processing are occurring and these improvements are making dedicated roads for autonomous vehicles economically feasible.
This report study the
autonomous vehicles history,
present & future. And give a
quick look over their theory of
operating and their effects on
the economic and energy usage
Roadmap to autonomous driving, AV levels, its impact
on powertrains of the future
- Autonomus driving vehicle
- Powertrain requirements for autonomous vehicles
- Scaleable functionality for ACE (Autonomous, Connected and Electric)
Autonomous car based on artificial intelligence which is used by google for replacing drivers in car. Which will leads to the driving into the next phase
Vehicle technology has increased rapidly in recent years, particularly in relation
to braking system and sensing system. In parallel to the development of braking
technologies, sensors have been developed that are capable of detecting physical obstacles,
other vehicles or pedestrians around the vehicle. This development prevents accidents of
vehicles using Stereo Multi-Purpose cameras, Automated Emergency Braking Systems and
Ultrasonic Sensors. The stereo multi-purpose camera provides spatial intelligence of up to
50 metres in front of the vehicle and there is an environment recognition of 500 metres.
Cars can automatically brake due to obstacles or any hindrance when the sensor senses the
obstacles. The braking circuit function is to brake the car automatically after receiving
signal from the sensors. All cars are competent in applying brakes automatically to a
maximum extent of deceleration of 0.4g. Integrated safety systems are based on three
principles. They are: collision avoidance, collision mitigation braking systems and forward
collision warning.
driverless car 2020 is a vehicle that is capable of sensing its environment and navigating without human input.[4] Many such vehicles are being developed, but as of May 2017 automated cars permitted on public roads are not yet fully autonomous and driverless car google
Modern Transport problems arise when it is difficult behavior in A system according to the best possible pattern, being affected by traffic, human errors or accidents. In such cases, unpredictability can be helped by AI SERVICES
Research presentation on Autonomous Driving. Direction perception approach.
Research work by Princeton University group.
Note: Link given in the presentation
Smart infrastructure for autonomous vehicles Jeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze how autonomous vehicles are becoming economic feasible. They are becoming economically feasible because the cost of lasers, ICs, MEMS, and other electronic components are falling at 25 to 40% per year. If the cost of autonomous vehicles fall 25% a year, the cost of the electronics associated with autonomous vehicles will fall 90% in 10 years. Dedicating roads to autonomous vehicles is necessary to achieve the most benefits from autonomous vehicles. While using autonomous vehicles in combination with conventional vehicles can free drivers for other activities, dedicating roads to autonomous vehicles can dramatically reduce congestion, increase speeds, and thus increase the number of cars per area of the road. They can also reduce accidents, insurance, and the number of traffic police. These slide discuss the use of wireless technologies for the control and coordination of autonomous vehicles. Improvements in bandwidth, speed, and latency (delays) along with improvements in computer processing are occurring and these improvements are making dedicated roads for autonomous vehicles economically feasible.
This report study the
autonomous vehicles history,
present & future. And give a
quick look over their theory of
operating and their effects on
the economic and energy usage
Roadmap to autonomous driving, AV levels, its impact
on powertrains of the future
- Autonomus driving vehicle
- Powertrain requirements for autonomous vehicles
- Scaleable functionality for ACE (Autonomous, Connected and Electric)
Autonomous car based on artificial intelligence which is used by google for replacing drivers in car. Which will leads to the driving into the next phase
Vehicle technology has increased rapidly in recent years, particularly in relation
to braking system and sensing system. In parallel to the development of braking
technologies, sensors have been developed that are capable of detecting physical obstacles,
other vehicles or pedestrians around the vehicle. This development prevents accidents of
vehicles using Stereo Multi-Purpose cameras, Automated Emergency Braking Systems and
Ultrasonic Sensors. The stereo multi-purpose camera provides spatial intelligence of up to
50 metres in front of the vehicle and there is an environment recognition of 500 metres.
Cars can automatically brake due to obstacles or any hindrance when the sensor senses the
obstacles. The braking circuit function is to brake the car automatically after receiving
signal from the sensors. All cars are competent in applying brakes automatically to a
maximum extent of deceleration of 0.4g. Integrated safety systems are based on three
principles. They are: collision avoidance, collision mitigation braking systems and forward
collision warning.
driverless car 2020 is a vehicle that is capable of sensing its environment and navigating without human input.[4] Many such vehicles are being developed, but as of May 2017 automated cars permitted on public roads are not yet fully autonomous and driverless car google
Modern Transport problems arise when it is difficult behavior in A system according to the best possible pattern, being affected by traffic, human errors or accidents. In such cases, unpredictability can be helped by AI SERVICES
Autonomous cars self-driving cars-driverless cars market 2020 to 2030Chandan Chaudhary
The Autonomous cars/Self-Driving Cars/Driverless Cars Market report offers a deep analysis of the Market Research Industry. It demonstrates a rapid summary of industry data and a key catalog of the market. The report highlights well-known performers from the Autonomous cars/Self-Driving Cars/Driverless Cars Market beside contribution to the market vocation progress within the estimated time. KACSK Market Research Report covers recent improvements while predicting the expansion of the players of the market.
Below is the detailed list of some of the major investments in the run of driverless technology
1. Ford $1 billion investment in Argo AI
2. Toyota Research Institute $1 billion
3. Uber purchased Otto for $680 million
4. GM acquired CRUZE AUTOMATION for $580 million
5. Intel to buy Mobileye for $15.3 billion
6. GM invests $500 million in LYFT- drive sharing startup
7. VOLVO and Uber $300 million JV
8. Hyundai $1.7 billion R & D
9. Intel $250 million in driverless AI tech.
GreenRoad presentation in the future of IoT, connected car and Shared Mobility. Driver Safety and Fleet Management are part of the future of Connected car, Shared Mobility and IoT.
Traffic signals work with artificial intelligence venkat k - mediumusmsystem
In U.S Drivers add 81 extra hours to their arrival each year due to traffic. The other U.S. cities are also worse, these cities are known for difficult driving conditions with hills, bridges, and bikers.
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Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
Advanced Flow Concepts Every Developer Should KnowPeter Caitens
Tim Combridge from Sensible Giraffe and Salesforce Ben presents some important tips that all developers should know when dealing with Flows in Salesforce.
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SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
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In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
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Worried about document security while sharing them in Salesforce? Fret no more! Here are the top-notch security standards XfilesPro upholds to ensure strong security for your Salesforce documents while sharing with internal or external people.
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Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Multiple Your Crypto Portfolio with the Innovative Features of Advanced Crypt...Hivelance Technology
Cryptocurrency trading bots are computer programs designed to automate buying, selling, and managing cryptocurrency transactions. These bots utilize advanced algorithms and machine learning techniques to analyze market data, identify trading opportunities, and execute trades on behalf of their users. By automating the decision-making process, crypto trading bots can react to market changes faster than human traders
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First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
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BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
2. In 1885, Karl Benz invented automobiles.
Later that year he took it for public view and true story – crashed into a wall.
Todays cars are stronger, having seat belts, air bags and other safety
features. For last 132 years we have been working around the least reliable
part of the car, the driver.
3. Every year the lives of approximately 1.25 million people are cut short as a result
of a road traffic crashes around the world.
Without sustained action, road traffic crashes are predicted to become the
seventh leading cause of death by 2030.
Problems are:
Road traffic injuries cause considerable economic losses to individuals,
their families, and to nations as a whole.
http://www.who.int/mediacentre/factsheets/fs358/en/ updated May 2017
4. In India alone 1.5 lakh people were killed in accidents in 2016.
This means 410 approx. people died on Indian roads every day in 2016.
This is almost equivalent to Boeing 747 falling from sky every day.
Road traffic injuries cause considerable economic losses to individuals,
their families, and to nations as a whole.
http://timesofindia.indiatimes.com/india/410-people-died-on-indian-roads-every-day-last-
year/articleshow/58333548.cms Apr 24, 2017
6. Most of time driving is like this…
Source: http://www.nydailynews.com/news/national/snacking-driving-cost-new-jersey-article-
1.1530947
7. In India registered motor vehicles have grown at CAGR of 10.6 per cent while the
growth in the road network during the same period is 4.2 per cent.
This clearly shows that traffic really is substantially worse than it was earlier.
Source: "BASIC ROAD STATISTICS OF INDIA" - GOVERNMENT OF INDIA (MINISTRY OF ROAD TRANSPORT AND HIGHWAYS)
8. Huge monetary loss for Bangalore IT & BPO industry due to traffic = $6.50 billion
Below is the math:
Bangalore workforce (IT exports & BPO) = 800,000 approx.
Average commuting hours = 2 hrs / day / employee
Working days in a year = 235 approx.(five days in a week)
Hours spent in commute = 470 hrs / employee / year
Total hours lost due to commute = 800,000 * 470 = 376 million hours
Average revenue per employee (IT exports & BPO) = $32500 / year
Assuming people work for eight hours through 235 working days the average
hourly revenue per IT employee comes out to be = ((32500 / 235) / 8) = $ 17.29.
Annual monetary cost of traffic to Bangalore IT & BPO industry = $6.50 billion
9. This is Pratap. He is incredibly capable software engineer.
He works for a MNC in Gurgaon. He stays at Ram Nagar, New Delhi.
Everyday morning he takes a bus from Ram Nagar to New Delhi
Metro station Gate No3. From New Delhi Metro station he boards
a metro to Gurgaon. From Gurgaon metro station one of his college
picks him and they both reach office. In evening the journey is in
reverse order. Total journey time per day is 3:30 hrs instead of 2.00 hrs.
True story of Pratap
Every day he has to spend 1.30 hrs extra in
piecing together bits of public transit and
taking help from family & friends.
He does not have the same freedom as we
have to get around.
There are many of such Prataps in this world.
We should do some thing about them.
11. Advantages of Self Driving Cars
Roads will be safer. Number
of accidents will reduce. 70%
Traffic and fuel efficiency will greatly improve.
Driverless cars can drive much closer together.
More productive time.
According to McKinsey, commuters
worldwide could save a combined
of accidents will reduce. 70%
of accidents are due to driver
errors.
Driverless cars can drive much closer together.
Based on University of Texas study, on motorways,
if 90pc of cars were self-driving, road capacity would
be doubled and delays would be more than halved.
worldwide could save a combined
1 billion hours everyday once
autonomous vehicles go mainstream.
Revolutionizing Mobility
for Wheelchair Users
13. Roadmap
2017 2019 2021 2025
Cars are fitted with
Cameras & radars.
Warn drivers of potential
hazards like front car has
suddenly brake or
pedestrian stepping out
Hands-off driving on the
motorway.
Drivers to release the
controls for a few
minutes at a time,
perhaps to check the
Fully autonomous driving
on motorways.
Cars will have “full sensor
pack”, including radars,
cameras and laser
Cars are fully autonomous.
Cars will be able to interact
with traffic lights, junctions
and roundabouts as well.
Full connectivity with allpedestrian stepping out
into the road. If driver
fails to react then car can
take corrective action.
Ex: Tesla Autopilot system
allows this at motorway
speeds too.
perhaps to check the
satnav or read an email,
before it prompts them to
take back control. If
required car will perform
a minimum risk
maneuver to bring itself
to a controlled safe stop.
cameras and laser
scanners, which will allow
them to “build up a
complete picture of the
immediate road and traffic
environment to navigate
safely within it.”
Full connectivity with all
vehicles and the road
infrastructure. V2V & V2I.
Driver wheel will be
removed and there is no
requirement to touch
controls.
Assisted Driving Autonomous Driving
14. Challenges of Self Driving Cars
Better Sensors & Software
Coming up with safety-critical, fail-safe
software for completely driverless cars
would require reimagining how software
is designed. Sensors need to be reliable,
compact and reasonably priced and
paired with detailed maps.
Sensing the surroundings
To a computer, a highway on a clear day
looks completely different than it does
in fog or at dusk or in snow. A self-driving
car must be able to distinguish between
dangerous and harmless situations.
Laws & Insurance
Change in transport laws and
insurance policies is required.
UK laws – “The Vehicle Technology
and Aviation Bill” talks about this
Unexpected encounters
Self-driving cars struggle to interpret
unusual situations, like a traffic officer
waving vehicles through a red light.
Simple rule-based programming won’t
always work because it’s impossible to
code for every scenario in advance.
Ethical dilemmas
In an online exercise called the Moral Machine,
players choose whom to save in different scenarios.
If you are about to hit an elderly woman or a child
running on the road, whom to save ?
Society will need to decide what rules and regulations
should govern self-driving cars.
Cybersecurity
Self-driving cars would
get updates and maps through
the cloud, would be at greater risk.
15. Tech Companies in India & Abroad World Wide
India
AGV IIT
Kharagpur
Re-Inventing Campus
Mobility
Team Manas
MIT
SeDriCa 1.0 –
Innovation Cell,
IIT Bombay
16. This is quite an urgent situation as the time you
are going through this presentation today 17are going through this presentation today 17
people have died in India alone on the road.
17. Resources
"BASIC ROAD STATISTICS OF INDIA" - GOVERNMENT OF INDIA (MINISTRY OF ROAD TRANSPORT AND HIGHWAYS)
Vehicle Technology and Aviation Bill - https://publications.parliament.uk/pa/bills/cbill/2016-2017/0143/cbill_2016-
20170143_en_2.htm
http://www.who.int/mediacentre/factsheets/fs358/en/
http://timesofindia.indiatimes.com/india/410-people-died-on-indian-roads-every-day-last-year/articleshow/58333548.cms
http://www.nydailynews.com/news/national/snacking-driving-cost-new-jersey-article-1.1530947
https://qz.com/280082/the-true-cost-of-bangalores-traffic-gridlock-to-indias-it-industry-is-staggering/
http://www.businessinsider.in/tech/the-3-biggest-ways-self-driving-cars-will-improve-our-lives/slidelist/52697099.cms
https://www.sciencenews.org/article/five-challenges-self-driving-cars
https://www.livescience.com/50841-future-of-driverless-cars.html
http://www.siamindia.com/statistics.aspx?mpgid=8&pgidtrail=14
http://www.mospi.gov.in/statistical-year-book-india/2016/190
http://timesofindia.indiatimes.com/india/In-2015-16-record-6029km-of-highways-constructed/articleshow/51771190.cmshttp://timesofindia.indiatimes.com/india/In-2015-16-record-6029km-of-highways-constructed/articleshow/51771190.cms
http://www.hindustantimes.com/india-news/government-constructs-22-km-of-roads-per-day-misses-target-of-41-km-by-
half/story-nLLJazVO6TZlzgx7lIu7iO.html
http://www.indiaspend.com/investigations/indias-traffic-nightmare-roads-grow-4-vehicles-grow-11-2
http://timesofindia.indiatimes.com/city/bengaluru/Bengaluru-Kolkata-slowest-moving-metros/articleshow/50390186.cms
https://qz.com/280082/the-true-cost-of-bangalores-traffic-gridlock-to-indias-it-industry-is-staggering/
https://www.cbinsights.com/research/autonomous-driverless-vehicles-corporations-list/
http://iotindiamag.com/2017/03/startups-companies-race-make-driverless-cars-reality-indian-roads/
http://agv-iit-kgp.github.io/
http://auro.ai/
http://www.omnipresenttech.com/
http://www.insightiitb.org/2016/sedrica-1-0-innovation-cell-iit-bombay/
21. Anti-lock brakes(ABS)
Electronic stability control (ESC)
Cruise control
Lane Departure Warning System
Technologies making a system fully Autonomous
Lane Departure Warning System
Self Parking
Automated Guided Vehicle Systems