04-01-2011, 08:45 PM
Please give me a seminar report and ppt about google's self driving car..
04-01-2011, 08:45 PM
Please give me a seminar report and ppt about google's self driving car..
18-01-2011, 05:24 PM
Google’s self-driving automated cars use video cameras, radar sensors and a laser range finder to “see” other traffic, as well as detailed maps (which collect using manually driven vehicles) to navigate the road ahead. This is all made possible by Google’s data centers, which can process the enormous amounts of information gathered by cars when mapping their terrain.Robot drivers react faster than humans, and have 360-degree perception and do not get distracted, sleepy or intoxicated .this project would help to create the new “highway trains of tomorrow."
reference: http://googleblog.blogspot2010/10/what-w...ng-at.html
20-07-2012, 11:02 PM
please give me the abstract and seminar report of google car
21-07-2012, 10:16 AM
to get information about the topic "Google car" full report refer the link bellow https://seminarproject.net/Thread-google-car
21-07-2012, 11:09 AM
pls give me the abstract and seminar report about google car immediately.
02-08-2012, 09:22 PM
give me report on google car seminar. send me tht report as soon as possible to my email
31-07-2013, 03:12 PM
GOOGLE CAR
GOOGLE CAR.ppt (Size: 6.66 MB / Downloads: 74) INTRODUCTION Increasing road accidents due to careless driving. Increased Traffic jams . Increased fuel consumption. Neglecting traffic rules frequently. Google introduce a solution for that. GOOGLE CAR Driverless car. Takes you to the destination needed. Destination fed on google map through touch screen. Integrates Google Maps with sensors. can accelerate to the correct speed limit. can stop and go based on any traffic condition. Obeys traffic rules . Capable of sensing environment and navigating. LIDAR Heart of the Google Car A rotating sensor scans more than 200 feet in all direction Used to generate a 3-D map of the cars surroundings. Lidar fires rapid pulse of laser light (532 nm). Distance =Speed of light x Time of flight / 2 Velodyne 64 beam laser. RADAR MA COM SRS Radar -resistant to inclement weather and harsh environmental 24 GHz ultra wide band radar sensors provides object detection . Parking assistance by rear-mounted sensors with 1.8 m range. Detect small and large objects and measure direction of arrival GPS AND STREET VIEW Global Positioning System (GPS)- space-based satellite navigation system. GPS receiver calculates its position by precisely processing the signals sent by GPS satellites For finding the position of the vehicle and plotting on map. Google Street View -technology featured in Google Maps. panoramic views from positions along streets in the world. JAUS INTEROPERABLE COMMUNICATIONS Joint Architecture for Unmanned Systems (JAUS) Open architecture for the domain of unmanned systems Lab VIEW developed tools for JAUS. Autonomous ground vehicle standard pass messages and status information. Used AS-4 JAUS interoperable architecture
19-04-2014, 02:27 PM
Google Car
Google Car.docx (Size: 754.93 KB / Downloads: 13) INTRODUCTION The system combines information gathered from Google street view with artificial intelligence software that combines input from video camera inside the car, a LIDAR sensor on the top of the vehicle, RADAR sensors on the front of the vehicle and a position sensor attached to one of the rear wheel that helps to locate the car position on the map. At the same time some hardware components are used in the car these are APPIANIX PCS, VELODYNE, SWITCH, TOPCON, REAR MONITOR, COMPUTER, ROUTER, FAN, INVERTER and BATTERY along with some software program is installed in it. By all the components combined together to operate the car without the DRIVER. i.e., the car drives it only. The Google Driverless Car is a project by Google that involves developing technology for Driverless Cars. The project is currently being led by Google engineer Sebastian Thrum's team at Stanford created the robotic vehicle Stanley which won the 2005 DARPA[1] challenge and its US$2 million prize from the U.S department of defense. The team developing the system consisted of 15 engineers working for Google, including Chris Rumson, Mike Montebello, and Anthony Levandowski who had worked on the DARPA Grand and Urban Challenges.. INTRODUCTION The system combines information gathered from Google street view with artificial intelligence software that combines input from video camera inside the car, a LIDAR sensor on the top of the vehicle, RADAR sensors on the front of the vehicle and a position sensor attached to one of the rear wheel that helps to locate the car position on the map. At the same time some hardware components are used in the car these are APPIANIX PCS, VELODYNE, SWITCH, TOPCON, REAR MONITOR, COMPUTER, ROUTER, FAN, INVERTER and BATTERY along with some software program is installed in it. By all the components combined together to operate the car without the DRIVER. i.e., the car drives it only. The Google Driverless Car is a project by Google that involves developing technology for Driverless Cars. The project is currently being led by Google engineer Sebastian Thrum's team at Stanford created the robotic vehicle Stanley which won the 2005 DARPA[1] challenge and its US$2 million prize from the U.S department of defense. The team developing the system consisted of 15 engineers working for Google, including Chris Rumson, Mike Montebello, and Anthony Levandowski who had worked on the DARPA Grand and Urban Challenges.. LIDAR – LIGHT DETECTION AND RANGING LIDAR (Light Detection And Ranging, also LADAR) is an optical remote sensing technology that can measure the distance to, or other properties of a target by illuminating the target with light, often using pulses from a laser. LIDAR technology has application in Geometrics archaeology, geography geology geomorphology, seismology, forestry, remote sensing and atmospheric physics, as well as in airborne laser swath mapping (ALSM), laser altimetry and LIDAR[3] contour mapping. DESIGN In general there are two kinds of LIDAR detection schema: "incoherent" or direct energy detection (which is principally an amplitude measurement) and Coherent detection (which is best for Doppler, or phase sensitive measurements). Coherent systems generally use Optical heterodyne detection which being more sensitive than direct detection allows them to operate a much lower power but at the expense of more complex transceiver requirements. SCANNER AND OPTICS How fast images can be developed is also affected by the speed at which they are scanned. There are several options to scan the elevation, including dual oscillating plane mirrors, a combination with a polygon mirror, a dual axis scanner (see Laser scanning). Optic choices affect the angular resolution and range that can be detected. A hole mirror or a beam splitter are options to collect a return signal. Two main photo detector technologies are used in LIDAR solid state photo detectors, such as silicon avalanche photodiodes, or photomultipliers. The sensitivity of the receiver is another parameter that has to be balanced in a LIDAR design. POSITION NAVIGATION SYSTEM LIDAR sensors that are mounted on mobile platforms such as airplanes or satellites require instrumentation to determine the absolute position and orientation of the sensor. Such devices generally include a Global Positioning System receiver and an Inertial Measurement Unit (IMU)[4]. LIDAR SENSOR The LIDAR (Light detection and Ranging) sensor is a scanner. It will rotate in the circle. It is fixed on the top of the car. In the scanner contains the 64 lasers that are send surroundings of the car through the air. These the laser is hits objects around the car and again comes back to it. By these known How far that objects are from the car and also it calculates the time to reach that object. These are can see in monitor in a 3D object with the map. The monitor is fixed in front seat. “The heart of the system generates a detailed 3D map of environment (velodyne 64- beam laser)”. The map accessed from the GPRS connection. Position Sensor This device provides the latitude, longitude and altitude together with the corresponding standard deviation and the standard NMEA messages with a frequency of 5 Hz. When geostationary satellites providing the GPS drift correction are visible from the car, the unit enters the deferential GPS mode (high precision GPS). When no correction signal is available, the device outputs standard precision GPS. Clutter Clutter refers to radio frequency (RF) echoes returned from targets which are uninteresting to the radar operators. Such targets include natural objects such as ground, sea, precipitation (such as rain, snow or hail), sand storms, animals (especially birds), atmospheric turbulence, and other atmospheric effects, such as ionosphere reflections, meteor trails, and three body scatter spike. Clutter may also be returned from man-made objects such as buildings and, intentionally, by radar countermeasures such as chaff. Some clutter may also be caused by a long radar waveguide between the radar transceiver and the antenna. In a typical plan position indicator (PPI) radar with a rotating antenna, this will usually be seen as a "sun" or "sunburst" in the centre of the display as the receiver responds to echoes from dust particles and misguided RF in the waveguide. Adjusting the timing between when the transmitter sends a pulse and when the receiver stage is enabled will generally reduce the sunburst without affecting the accuracy of the range, since most sunburst is caused by a diffused transmit pulse reflected before it leaves the antenna. Clutter is considered a passive interference source, since it only appears in response to radar signals sent by the radar. Frequency modulation Another form of distance measuring radar is based on frequency modulation. Frequency comparison between two signals is considerably more accurate, even with older electronics, than timing the signal. By measuring the frequency of the returned signal and comparing that with the original, the difference can be easily measured. This technique can be used in continuous wave radar and is often found in aircraft radar altimeters. In these systems a "carrier" radar signal is frequency modulated in a predictable way, typically varying up and down with a sine wave or saw tooth pattern at audio frequencies. The signal is then sent out from one antenna and received on another, typically located on the bottom of the aircraft, and the signal can be continuously compared using a simple beat frequency modulator that produces an audio frequency tone from the returned signal and a portion of the transmitted signal. |
|