The document discusses the features and technologies of hybrid cars. Hybrid cars can use vision systems to detect other vehicles, traffic signals, pedestrians and obstacles. They can also monitor the driver's physiology, road and weather conditions. Key features of hybrid cars mentioned include collision avoidance, adaptive cruise control, imaging technologies and navigational aids that provide safety and convenience. The document outlines some challenges in further developing and adopting intelligent vehicle systems and envisions future vehicles having improved in-vehicle systems and communication abilities.
Google Self Driving Cars
The Google Self-Driving Car is a project by Google that involves developing technology for autonomous cars. The software powering Google's cars is called Google Chauffeur. Lettering on the side of each car identifies it as a "self-driving car". The project is currently being led by Google engineer Sebastian Thrun, former director of the Stanford Artificial Intelligence Laboratory and co-inventor of Google Street View. Thrun's team at Stanford created the robotic vehicle Stanley which won the 2005 DARPA Grand Challenge and its US$2 million prize from the United States Department of Defense. The team developing the system consisted of 15 engineers working for Google, including Chris Urmson, Mike Montemerlo, and Anthony Levandowski who had worked on the DARPA Grand and Urban Challenges.
Legislation has been passed in four states and the District of Columbia allowing driverless cars. The U.S. state of Nevada passed a law on June 29, 2011, permitting the operation of autonomous cars in Nevada, after Google had been lobbying in that state for robotic car laws. The Nevada law went into effect on March 1, 2012, and the Nevada Department of Motor Vehicles issued the first license for an autonomous car in May 2012, to a Toyota Prius modified with Google's experimental driverless technology. In April 2012, Florida became the second state to allow the testing of autonomous cars on public roads, and California became the third when Governor Jerry Brown signed the bill into law at Google HQ in Mountain View. In July 2014, the city of Coeur d'Alene, Idaho adopted a robotics ordinance that includes provisions to allow for self-driving cars.
Videos
https://www.youtube.com/channel/UCCLyNDhxwpqNe3UeEmGHl8g
Google Self Driving Cars
The Google Self-Driving Car is a project by Google that involves developing technology for autonomous cars. The software powering Google's cars is called Google Chauffeur. Lettering on the side of each car identifies it as a "self-driving car". The project is currently being led by Google engineer Sebastian Thrun, former director of the Stanford Artificial Intelligence Laboratory and co-inventor of Google Street View. Thrun's team at Stanford created the robotic vehicle Stanley which won the 2005 DARPA Grand Challenge and its US$2 million prize from the United States Department of Defense. The team developing the system consisted of 15 engineers working for Google, including Chris Urmson, Mike Montemerlo, and Anthony Levandowski who had worked on the DARPA Grand and Urban Challenges.
Legislation has been passed in four states and the District of Columbia allowing driverless cars. The U.S. state of Nevada passed a law on June 29, 2011, permitting the operation of autonomous cars in Nevada, after Google had been lobbying in that state for robotic car laws. The Nevada law went into effect on March 1, 2012, and the Nevada Department of Motor Vehicles issued the first license for an autonomous car in May 2012, to a Toyota Prius modified with Google's experimental driverless technology. In April 2012, Florida became the second state to allow the testing of autonomous cars on public roads, and California became the third when Governor Jerry Brown signed the bill into law at Google HQ in Mountain View. In July 2014, the city of Coeur d'Alene, Idaho adopted a robotics ordinance that includes provisions to allow for self-driving cars.
Videos
https://www.youtube.com/channel/UCCLyNDhxwpqNe3UeEmGHl8g
Google driver less car is also known as autonomous car. It can travel from one point to another without any assistance from driver. It uses hardware sensors like LiDAR, position estimator, distance sensor, GPS, etc and Artificial Intelligence. Google map and Google street view are used for proper navigation. This technology reduces the traffic accidents and will make navigation more efficient.
A self-driving car is a vehicle that is capable of sensing its environment and navigating without human input. Self-driving cars can detect surroundings, using a variety of techniques such as radar, GPS, and computer vision.
<<instagram>> https://www.instagram.com/mike_sarafoglou/
<<youtube>> https://www.youtube.com/channel/UCZQDCo6W-3wTkbrkHbgjs2w
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.
Google driver less car is also known as autonomous car. It can travel from one point to another without any assistance from driver. It uses hardware sensors like LiDAR, position estimator, distance sensor, GPS, etc and Artificial Intelligence. Google map and Google street view are used for proper navigation. This technology reduces the traffic accidents and will make navigation more efficient.
A self-driving car is a vehicle that is capable of sensing its environment and navigating without human input. Self-driving cars can detect surroundings, using a variety of techniques such as radar, GPS, and computer vision.
<<instagram>> https://www.instagram.com/mike_sarafoglou/
<<youtube>> https://www.youtube.com/channel/UCZQDCo6W-3wTkbrkHbgjs2w
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.
Today, a typical automobile on the road has computer controlled electronic systems, and the most commonly used embedded systems in a vehicle include Airbags, anti-lock braking system, black box, adaptive cruise control, drive by wire, satellite radio, telematics, emission control, traction control, automatic parking, in-vehicle entertainment systems, night vision, heads up display, back up collision sensors, navigational systems, tyre pressure monitor, climate control, etc
An autonomous vehicle is capable of sensing its environment and navigating without human input. Imbibing intelligence to these devices is through a system called embedded systems. Embedded Systems are combinations of hardware and software that are mounted on compact electronic circuit boards integrated into devices. Autonomous vehicles sense their surroundings with such techniques as radar, GPS, and computer vision. These systems are more intelligent and autonomous.
The challenge faced by this system is that; there are many possible ways for hacking the GPS. This system also contains alternate way for moving the car even if still the GPS is blocked. But the alternative ways are still focused on connection with the satellite. Now there needs to be a total security for preventing hackers from hacking the satellite. This is going to be done by encrypting the signal sent from car to the satellite. There are many ways of encrypting, among which we are going to use the concept of Secret key Encryption method. We use One-Time-Pad concept where the data is converted to cipher text and then it is going to be decrypted by the satellite. By this way, we could create a high level security where only that particular car and the satellite will have a common code and each time the car moves to a location, there is going to be a random key generated.
The current topic which we had chosen is one of a major problem in autonomous cars, which needs to be focused on. Our objective is to bring a complete security for the car and its owner.
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‘वोटर्स विल मस्ट प्रीवेल’ (मतदाताओं को जीतना होगा) अभियान द्वारा जारी हेल्पलाइन नंबर, 4 जून को सुबह 7 बजे से दोपहर 12 बजे तक मतगणना प्रक्रिया में कहीं भी किसी भी तरह के उल्लंघन की रिपोर्ट करने के लिए खुला रहेगा।
हम आग्रह करते हैं कि जो भी सत्ता में आए, वह संविधान का पालन करे, उसकी रक्षा करे और उसे बनाए रखे।" प्रस्ताव में कुल तीन प्रमुख हस्तक्षेप और उनके तंत्र भी प्रस्तुत किए गए। पहला हस्तक्षेप स्वतंत्र मीडिया को प्रोत्साहित करके, वास्तविकता पर आधारित काउंटर नैरेटिव का निर्माण करके और सत्तारूढ़ सरकार द्वारा नियोजित मनोवैज्ञानिक हेरफेर की रणनीति का मुकाबला करके लोगों द्वारा निर्धारित कथा को बनाए रखना और उस पर कार्यकरना था।
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In a May 9, 2024 paper, Juri Opitz from the University of Zurich, along with Shira Wein and Nathan Schneider form Georgetown University, discussed the importance of linguistic expertise in natural language processing (NLP) in an era dominated by large language models (LLMs).
The authors explained that while machine translation (MT) previously relied heavily on linguists, the landscape has shifted. “Linguistics is no longer front and center in the way we build NLP systems,” they said. With the emergence of LLMs, which can generate fluent text without the need for specialized modules to handle grammar or semantic coherence, the need for linguistic expertise in NLP is being questioned.
role of women and girls in various terror groupssadiakorobi2
Women have three distinct types of involvement: direct involvement in terrorist acts; enabling of others to commit such acts; and facilitating the disengagement of others from violent or extremist groups.
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2. HEY U PEOPLE OUT
THERE,,,,CHECK OUT
THIS NEW HYBRID CAR
WITH EXCITING HIGH-
TECH FEATURES,,,,!
3. Introduction
Hybrid cars use a vision system to detect
other vehicles, respond to traffic signals,
And avoid pedestrians and obstacles.
This also includes information on road and weather
conditions, route directions, vehicle diagnostics,
anti-collision warnings, the
driver's physiological status, etc.
4. What are the features of
hybrid cars ?
They can see, hear, feel, smell, talk and act.
They can eliminate most car accidents.
They can alert the police and
provide precise location if stolen.
They can monitor one’s driving
and the driving condition nearby.
They can alert the driver who
feels drowsy.
They can locate your car precisely
and warn of traffic jams.
5. Technologies related to
Hybrid cars
Technologies related to Hybrid cars and modern
technologies to improve safety. These technologies
are broken down into four broad, distinct
classifications of devices:-
Collision avoidance
adaptive cruise control
Imaging
Navigational aids
6. Collision Avoidance
Various systems combines an eye tracker, which checks
where the driver is looking, and differential global
positioning system, which is designed to allow the system
to keep track of its location both on the planet and in
relation to other similarly equipped vehicles.
7. Adaptive Cruise Control
Adaptive cruise control is a new concept that is being explored by many
automakers and researchers for the Intelligent Vehicles Initiative. These
systems seek to allow a car to not only maintain its speed, like
traditional cruise control, but also its distance from cars in front of it. A
perfect example is the system being developed for the Jaguar line of cars.
To use it, the driver simply enters a speed and a distance (in seconds) to
keep between themselves and the car in front of them.
8. A competing adaptive cruise control concept, called the Platoon system,
is also being developed by the University of California. Two kinds of
sensors were responsible for keeping the vehicles bearings- 9 sensors
monitored speed and engine performance, while actuators controlled the
throttle and brakes. An antenna mounted on each car allowed it to
communicate with the front few vehicles.
9. Imaging Technology
Another area of study is how to enhance the vision of humans in
situations where they may not be able to see very clearly. Few companies
are testing a concept similar to that used in Night Vision Goggles, where
sensors process differences between roadside temperatures and those of
objects ahead. The sensors send this information to a central computer,
which converts the information and uses it to put together images of the
surrounding roadside that are updated several times a second; this
processed composite image then shows up on a screen built into the
dashboard.
10. Navigational Aids
It will be integrated within a communicating navigation unit that
automatically tracks the actual location of the car and can reveal it if
necessary. So far, such systems have been used to track stolen cars and
calculate traffic flows. The latter option is still rather unpopular. From
the driver's point of view, a communicating navigation system is
convenient because it dynamically chooses the best route by tracking
the actual location of the car.
11. In other words, instead of theoretically suggesting the best way from
point A to point B, the system constantly gets information about road
conditions and traffic jams and uses it to suggest the most practical way
from the car's current position to its destination. With the help of
Internet-based services, the navigation system can also tell the driver
about free parking lots or the cheapest nearby gas station. And for safety
reasons, such systems will announce this information through speakers
instead of showing it on a display.
12. The idea that a personal smart card
could replace your car keys is not
futuristic. Mercedes CL owners can
already open their car with a contact
less smart card developed by Siemens.
The motor starts after pushing a little
ignition button, but only if the card is
inside the vehicle. Without it, no hairpin or fake key can help a
thief start the car. The system also prevents drivers from
locking the car with the card inside, making it impossible to lock
oneself out.
Multifunctional Smart Card
Car Keys
13. What does the card
The card you punched
carries your SSN , so it acts
as your
Access Card
DL
Car customizer
Insurance
Cell Phone divert
Personalized ATM
14. SMART VISION:-
Other Features Involved In
“DIGITAL” Cars
Hybrid cars use a vision system to detect other vehicles, respond to traffic
signals, and avoid pedestrians and obstacles. Researchers at DaimlerChrysler
Research (Ulm, Germany) have built a smart-vehicle-theory demonstrator
called the Urban Traffic Assistant (UTA). The DaimlerChrysler research
team has demonstrated that by using a multitude of algorithms it can
maintain separation from the vehicle ahead, see and respond to traffic
signals, and avoid pedestrians and obstacles while moving through urban
traffic situations at normal driving speeds under the supervision of a human
driver.
16. New Safety
Features
Special scanners helps to locate the position of passengers and their heads (using
rather rough biometric patterns) and optimize the use of airbags. The lifesavers
go off only if it is really necessary, because the new mechanism recognizes when
passengers are at risk of a collision. Unnecessary, expensive airbag activation is
avoided without reducing passenger safety. Other sensors check tire pressure or
the distance to the next car and warn the driver or react with a slight automatic
reduction of speed. Such intelligent safety features can reduce the number of
accidents and injuries.
17. Hardware
Architecture:-
A pair of video cameras serves as the eyes for the vehicle. The
cameras are mounted on a horizontal bar near the rear-view mirror.
The horizontal scan lines of both cameras must be tightly aligned
and strictly parallel to the line joining their optical axes.
The UTA uses an Imaging Technology Inc. IMPCI frame grabber and a
commercial monitor with 1024 x 786-pixel resolution.
18. Information from a car may be provided through data servers,
which are in turn connected to a centralized computer which gets
all the information about the vehicle. By using this kind of loop, any
urgent information or direction can be provided to the vehicle using
wireless, and a tragedy can be avoided.
19. Adaptive headlights:-
The headlights monitor the
car’s road speed and steering
wheel movements and adjust
accordingly
Night vision:-
Volvo proposes using infrared
night vision in the SSC
Collision warning sensors:-
If the distance to the car in
front is too short, or the gap
is closing too fast, the SSC’s
driver is alerted via a red
warning light
20. • So many people don’t convert their conceptions to
accept Hybrid cars.
• The traffic problems may became more and more
serious, such as occupation of lanes.
• In-vehicle systems throw people back on high-tech.
• Because of the challenges of combining intelligent
highways with the existing highway system, fully
automated vehicle operation is still some years away.
Challenges
21. Capabilities of Individual In-Vehicle
Systems Will Improve
Driver-Vehicle Interface Will Become
Increasingly Sophisticated
Intelligent Vehicles Will Communicate With
Other Vehicles and With a Smart Infrastructure
Future Evolution Of
Hybrid Cars
22. • Hybrid car is a kind of artificial intelligence.
Nowadays, it has applied in every aspect.
• Human beings work with assistance of robot to save
time.
• We can also make use of artificial intelligence to
provide entertainment and allow the car's
occupants to conduct business and monitor
activities at home and in the office.
Artificial Intelligence