Data collection on Google CARs:
Abstract:
According to the world health organization, more than 1.2 million lives are lost every year in road accidents. we need to believe on engineering technology potential to prevent as much as road accidents.
we are also confident that self driving cars will transform to new “highway trains of tomorrow“.
i.e No need to worry about the driving and we can do something other important things in our life.
To achieve this dream, Google developed technology for cars that can drive them selfs. these automated cars that can drive them selfs.
these automated cars uses video cameras, radar sensors, LIDAR and detailed maps.
for detecting outside 3d world, Google car uses laser technology. A laser range finder is mounted on the roof of the car.
the laser range finder used in the Google car is velodyne 64- beam laser, which generates detailed 3d map of the environment.
The car then combines the laser measurements with high-resolution maps of the world, producing different types of the data models that allow itself while avoiding obstacles and respecting traffic laws.
The vehicle carries:
1. Four-radars, mounted on the front and rear bumps.
To calculate speed of the other cars in the respective line.
2. A camera positioned near the rear- view mirror.
To detect traffic lights.
3. GPS, inertial measurement unit and wheel encoder. To determine
the vehicle location and keep track of its movement.
Velodyne 64-beam laser:
* velodyne’s HLD-64E sensor is designed for obstacle detection and navigation of autonomous ground vehicles.
* durability of 360digree field of view and very highdata rate, which makes the sensor ideal for the most demanding perception applications.
Specifications of HLD-64E sensor:
1. 360 degree horizontal view, 26.8 degree vertical view.
2. 5-15hz user-selective frame rate.
3. over 1.3 million points per second output rate.
Data-sheet of HLD-64E sensor is available at velodynelidar.com
or search “velodyne 64-beam laser” on Google.

What is LIDAR?
LIDAR is LIght detection and ranging. the laser is Class-I and eye safe.
LIDAR is a remote sensing technology that measures distance by illuminating a target with a laser and analyzing the reflected light detection and ranging.
LIDAR was developed in early 1960s, shortly after invention of the LASER.
Applications of HDL-64E S2:
1. Autonomous vehicle navigation,
2. mapping,
3. surveying,
4. industrial automation.
These are the generic applications used.
Google CAR unit envelopment:
1. used on the basis of high datarate. So 100MBPS Ethernet interfaced to the end user application.
2. It uses 64-Fixed mounted lasers to measures the surrounding environment.
LIDAR concept:
velodyne’s unique HD lidar technology lets you focus for your efforts on controlling algorithms which are user specific, image parsing and application specific processing instead of multi-sensor mounting, debugging and integration.
contains: 1. LASER emitter (4 group of 16)
2. LASER receivers (2 group of 32)
3. A motor housing
4. Mounting Base
The mechanical motor which spins up to 900RPM (15hz) to gather the data.
Operating temperature 10 to 50 degree C.
LASER is class I eye safe. Mechanical motor operating voltage 15+(or)- 1.5V @4amps.
Output of 100MBPS UDP Ethernet.
Reference :
http://spectrum.ieee.org/automaton/robotics/artificial-intelligence/how-google-self-driving-car-works





