Self Driving ( Autonomous ) Driver less cars
A self driving car is a vehicle that uses a combination of Sensors, Cameras, Radar and Artificial Intelligence to travel between destinations without human operator. A vehicle must be able to navigate without human intervention to a predetermined destination over roads that have not been adapted for its use.
The most noticeable is the rotating Roof-top LIDAR (Light Detection and Ranging) - camera that uses an array of either 32 or 64 lasers to measure the distance between objects, building up a 3D Map at a range of 200 m and allowing the car to "see" hazards. LIDAR is a surveying method that measures the distance to a target by illuminating the target with pulsed laser light and measuring
the reflected pulses with a sensor.
The car also has another sets of "eyes" - a standard camera that points through the window screen. This looks for nearby hazards like pedestrians, cyclists and other motorists as well as reading road signs and detecting traffic lights. Speaking of other motorists, bumper - mounted radar already used in intelligent cruise control, tracks other vehicles in front of and behind the car. Externally, car has a rear-mounted aerial Geo location that receives information from GPS satellites, and an Ultra sonic sensor on one of the rear wheels monitors the car's movements. Internally, the car has Altimeters , Gyroscopes and a Tachometer (a Rev-counter) to give even finer measurements on the car's position, all of which combine to give it the highly accurate data needed to operate safely.
Using these arrays, the car can read the road like a Human, but these sensors come with own limitations. Autonomous cars simply replace the Human eye with a camera, leaving them vulnerable to extreme sunlight, weather or defective traffic lights. In current autonomous cars, the way this selection of Pixels is analysed could be the difference between a safe journey and Death. Car to infrastructure communication is essential for enabling autonomous driving otherwise -How can the information can be provided at every Red light ?
Artificial Intelligence based systems will become a standard in new vehicles in two categories -
1) Infotainment Human machine interface,including speech and gesture recognition, eye tracking and driver monitoring, virtual assistance and natural language interfaces,
2) Advanced Driver Assistance System (ADAS) and autonomous vehicles, including camera -based machine vision system, Radar based detection units, driver condition evaluation and sensor fusion engine units (ECUs).
C++ Vs. Python is the programming language used for autonomous cars.
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The most noticeable is the rotating Roof-top LIDAR (Light Detection and Ranging) - camera that uses an array of either 32 or 64 lasers to measure the distance between objects, building up a 3D Map at a range of 200 m and allowing the car to "see" hazards. LIDAR is a surveying method that measures the distance to a target by illuminating the target with pulsed laser light and measuring
the reflected pulses with a sensor.
The car also has another sets of "eyes" - a standard camera that points through the window screen. This looks for nearby hazards like pedestrians, cyclists and other motorists as well as reading road signs and detecting traffic lights. Speaking of other motorists, bumper - mounted radar already used in intelligent cruise control, tracks other vehicles in front of and behind the car. Externally, car has a rear-mounted aerial Geo location that receives information from GPS satellites, and an Ultra sonic sensor on one of the rear wheels monitors the car's movements. Internally, the car has Altimeters , Gyroscopes and a Tachometer (a Rev-counter) to give even finer measurements on the car's position, all of which combine to give it the highly accurate data needed to operate safely.
Using these arrays, the car can read the road like a Human, but these sensors come with own limitations. Autonomous cars simply replace the Human eye with a camera, leaving them vulnerable to extreme sunlight, weather or defective traffic lights. In current autonomous cars, the way this selection of Pixels is analysed could be the difference between a safe journey and Death. Car to infrastructure communication is essential for enabling autonomous driving otherwise -How can the information can be provided at every Red light ?
Artificial Intelligence based systems will become a standard in new vehicles in two categories -
1) Infotainment Human machine interface,including speech and gesture recognition, eye tracking and driver monitoring, virtual assistance and natural language interfaces,
2) Advanced Driver Assistance System (ADAS) and autonomous vehicles, including camera -based machine vision system, Radar based detection units, driver condition evaluation and sensor fusion engine units (ECUs).
C++ Vs. Python is the programming language used for autonomous cars.
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