Auto Pilot mode Technology in vehicles ( Autonomous system )
INTRODUCTION
This Auto pilot mode Technology is a research project. By implementing this technology in vehicles enables it to self-drive in the highway roads without the control of the humans. This technology creates a new revolution in the Automobile and transport field. It helps the user to save their valuable time which is wasted while driving and it is not necessary for the drivers to be always seated in the driver seat except the places, where the signals and road counters present. Many accidents are occurred due to the carelessness of the drivers. This can be avoided by implementing this Autopilot mode technology. In this technology many advanced equipment’s are going to be used to make a safe journey. This Autopilot mode technology is going to be created by the combination of various departments in Engineering. But among these departments of Engineering four departments are going to play a major role.
AUTONOMOUS CAR
They are Mechanical, Electronics, Information Technology and Computer science departments. Mechanical department is going to take care of all the mechanical movements of the vehicle. Electronics department take care of the fetching of programs made by the programmers in the controlling unit and for its proper functioning. Information technology and computer science departments are going to be the back bone of this technology. Programs made by the programmers are going to be responsible for the working conditions of the control unit. Let us see the components and working of this technology in following paragraphs. A discussion about this technology is already made by HONDA UK in 2006 but it has many draw backs and they don’t explain about the working of this technology. I had created a new way to overcome from this draw backs and I had explained about this process in detail in the following paragraphs in my own creation.
COMPONENTS
This technology contains four major components. They are,
1. RADARS
2. SENSORS
3. ADVANCED GPS MAPPING SYSTEMS
4. DISPLAY UNIT
HOW IT WORKS ?
This technology depends up on the components which are
represented above. First the compact map path to the place where the user wants
to go is selected on the GPS maps in the display unit. When the user starts the
engine all the equipment’s will take positioning. The readings are obtained
from the radar every second. It detects the objects at the limit of 180’ angle
and continuously feed the control unit there by moving the vehicle in safe and
proper directions. Control unit is built with a lot of conditions that makes
the vehicle to move in the possible safe directions according to the readings
from the radar, sensor and GPS maps.
Here 50% of the job is done by the radar equipment’s and
rest of the job is done by the advanced GPS mapping to make a safe journey.
Separate signals are obtained from the sensors which are kept at the bottom of
the car straight to the wheel to detect the speed breakers and road damages
which help the vehicle to de-accelerate in the speed breaker and damaged road
areas. Advanced GPS mapping technology makes the car to remain in the Indian
rule of “keep left”. It synchronizes the vehicle and the road. This only helps
the vehicle to turn properly during the curves. Same set of the equipment’s is
fixed on the rear side of the vehicle to avoid other vehicles to hit the user’s
vehicle during de-acceleration, curves and overtaking.
RADARS
Radar is an object detection system that uses
electromagnetic waves to identify the range, altitude, direction, or speed of
both moving and fixed objects such as aircraft, ships, motor vehicles, weather
formations, and terrain. The term RADAR is defined as radio detection and
ranging. A radar system has a transmitter that emits radio waves. When they
come into contact with an object they are scattered in all directions. The
signal is thus partly reflected back and it has a slight change of wavelength
(and thus frequency) if the target is moving. The optimal range can be fixed as
50m.The receiver is usually, in the same location as the transmitter. Although
the signal returned is usually very weak, the signal can be amplified through
use of electronic techniques in the receiver and in the antenna configuration.
This enables radar to detect objects at ranges where other emissions from the
target object, such as sound or visible light, would be too weak to detect.
RADAR OF AUTONOMOUS CAR
From the above picture it has been observed that the radar signals are transmitted and readings of the detected object is received by the reflected signals from it in front of the car. By the radar readings the control unit automatically accelerates and de-accelerates the car. In case object in front of the car moving slowly means then the control unit will go for the “overtaking” mode.
Before overtaking it is necessary to analyses what might go
wrong while overtaking. This mode will find the possible direction and space to
overtake the object in the front to move ahead. How this process works means;
at first the signal from the front radar is obtained that, object is present in
the front of the car. Now the radar will analyze whether it is possible to
overtake. If it is possible means the vehicle will try to overtake.
There is a possibility for the vehicle to hit the object
while steering left during overtakes. A constant signal of 90 degree is
obtained from the front radar detecting
that an object is present in left.
After the front radar crossed the vehicle, readings will
start to come from the rear radar. This will indicate that the object is still
present and now cannot steer left. A constant reading will be taken from the
rear radar as 90 degree. This will not change until the rear radar crosses the
object.
When the back radar crossed the object the angle 90 degree
will start to increase. This detects that the car had crossed the object. A
particular degree is denoted in the program, when the vehicle has to steer. 110
degree is enough to steer the vehicle safely.
Thus the overtake mode is achieved successfully. This is how
the process is going to work. Radars cannot detect the road condition as it is
kept at the bumper of the car. So, separate sensors are kept near the wheel to
detect the road conditions
SENSORS:
A sensor is a device that measures a physical quantity and
converts it into a signal which can be read by an observer or by an instrument.
Here sensors are kept near the front wheel there by focusing the road as shown
at an angle of 160 degree.
SENSOR OF AUTONOMOUS CAR
The sensor will always focus the road like a stick from the car. A constant reading will be provided from the sensor to the control unit. When the angle changes due to any speed breaker or road damage, the sensor will automatically makes the control unit to slow down the car. If the value crosses the critical value the car will be stopped immediately because, there may be any huge damage.
Advance GPS mapping system
An autonomous vehicle, also known as a driverless vehicle, self-driving vehicle is an vehicle capable of fulfilling the human transportation capabilities of a traditional vehicle. As an autonomous vehicle, it is capable of sensing its environment and navigating without human input.
Autonomous vehicles
sense their surroundings with such techniques as radar, lidar, GPS, and computer vision. Advanced control systems interpret sensory information to identify appropriate navigation paths, as well as obstacles and relevant signage. Some autonomous vehicles update their maps based on sensory input, allowing the vehicles to keep track of their position even when conditions change or when they enter uncharted environments. For any mobile robot, the ability to. Navigate
in its environment is one of the most important capabilities. In general, the navigation task can be defined as the combination of three basic competences: localization, path planning and vehicle control.
GPS MAPPING SYSTEM
Localization denotes the robot‟s ability to determine its own position and orientation (pose) within a global reference frame. Path planning defines the computation of an adequate sequence of motion commands to reach the desired destination from the current robot position. Due to its planning component, path planning is typically done before motion. The planned path is followed by the robot using feedback control. This controller includes reactive obstacle avoidance as well as global path preplanning.
The potential
application areas of the autonomous navigation of mobile robots include automatic driving, guidance for the blind and disabled, exploration of Dangerous regions, transporting objects in factory or office environments, collecting geographical information in unknown terrains like unmanned exploration of a new planetary surface, etc.
This system takes the current position as source and gets the destination point from user. User has to specify the destination in the map. System finds the shortest path to the destination and extracts the lat, long coordinates from the graph & sends to the vehicle. Vehicle follows
the coordinate using GPS and compass. If GPS signal not received, inertial navigation system is used to obtain current coordinate.
BLOCK DIAGRAM
Obstacles around the vehicle are sensed by laser range finder. Current location of the vehicle is uploaded to the server through GPRS. At the server, coordinates are obtained and displayed in the Google map for monitoring purpose. So the vehicle can be monitored from anywhere in the world. Block diagram of the vehicle is show in figure.
Advantages of Auto pilot Vehicles
1. Travelers would be able to journey overnight and sleep for
the duration.
2. Traffic could be coordinated more easily in urban areas to
prevent long tailbacks at busy times. Commute times could be reduced
drastically.
3. Reduced or non-existent fatigue from driving, plus arguments
over directions and navigation would be a thing of the past.
4. Sensory technology could potentially perceive the
environment better than human senses, seeing farther ahead, better in poor
visibility, detecting smaller and more subtle obstacles, more reasons for less
traffic accidents.
5. Without the need for a driver, cars could become
mini-leisure rooms. There would be more space and no need for everyone to face
forwards. Entertainment technology, such as video screens, could be used to
lighten long journeys without the concern of distracting the driver.
6. Over 80% of car crashes in the USA are caused by driver
error. There would be no bad drivers and less mistakes on the roads, if all
vehicles became driverless. Drunk and drugged drivers would also be a thing of
the past.
7. Speed limits could be increased to reflect the safer
driving, shortening journey times.
8. Parking the vehicle and difficult maneuvering would be less
stressful and require no special skills. The car could even just drop you off
and then go and park itself.
9. People who historically have difficulties with driving, such
as disabled people and older citizens, as well as the very young, would be able
to experience the freedom of car travel. There would be no need for drivers'
licenses or driving tests.
10. Autonomous vehicles could bring about a massive reduction in
insurance premiums for car owners.
11. Efficient travel also means fuel savings, cutting costs.
12. Passengers should experience a smoother riding experience.
13. Self-aware cars would lead to a reduction in car theft.
Disadvantages of Auto pilots vehicles
1. A computer malfunction, even just a minor glitch, could
cause worse crashes than anything that human error might bring about.
2. If the car crashes, without a driver, who's fault is it:
Google/the software designer, or the owner of the vehicle?
3. The cars would rely on the collection of location and user
information, creating major privacy concerns.
4. Hackers getting into the vehicle's software and controlling
or affecting its operation would be a major security worry.
5. Driverless cars would likely be out of the price range of
most ordinary people when generally introduced, likely costing over $100,000.
6. Truck drivers and taxi drivers will lose their jobs, as
autonomous vehicles take over.
7. As drivers become more and more used to not driving, their
proficiency and experience will diminish. Should they then need to drive under
certain circumstances, there may be problems.
8. The road system and infrastructure would likely need major
upgrades for driverless vehicles to operate on them. Traffic and street lights,
for instance, would likely all need altering.
9. Self-driving cars would be great news for terrorists, as
they could be loaded with explosives and used as moving bombs.
10. There are problems currently with autonomous vehicles
operating in certain types of weather. 11. Heavy rain interferes with roof-mounted
laser sensors, and snow can interfere with its cameras.
12. Reading human road signs is challenging for a robot.
Very helpful article...👍👍
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ReplyDeleteIt's extremely easy to understand thanks for your help.
ReplyDeleteWhat will conclude from this study
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