Autonomous Vehicles - KPIT

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The system collects data from the sensors mounted on the chassis of car and accordingly finds out the proper slot in the parking area in order to park a car efficiently. V. Conclusion In this article, we have tried to analyze the features required in an autonomous vehicle to emulate a human brain. This emulation should include multi-tasking, faster and selectively processing and redundancy. Once the autonomous vehicle is advanced enough to emulate the human system, it could also be improved further to overcome certain limitations of humans and hence avoid errors which currently are the causes of vehicle accidents. Such an advanced autonomous car will let you take a break from driving, and for a change, it will drive you to your work. It would be interesting to find out how many of us would trust the advanced autonomous car to drive them to work and how many would just trust a friend to drop them to work. References: [1] Vinay Vaidya, Priti Ranadive, Sudhakar Sah, “Method and System for Speeding Execution of Software Code”, PCT/IN2009/000697 2513/MUM/2008, December 2008. [2] Aditi Athavale, Priti Ranadive, M.N. Babu, Prasad Pawar, Sudhakar Sah, Vinay Vaidya and Chaitanya Rajguru, “Automatic sequential to parallel code conversion: the S2P tool and performance analysis”, Journal of Computing, Vol. 1, No.4, 2012. [3] Association of Safe International Road Travel, Annual global road crash statistics. Available: http://www.asirt.org/KnowBeforeYouGo/RoadSafety Facts/RoadCrashStatistics/tabid/213/Default.aspx [4] Statistic Brain, Car crash fatality statistics. Available: http://www. statisticbrain.com/car-crash-fatalitystatistics-2/ [5] Krishnan Kutty Kongasary, Vijay Soni, Vinay Govind Vaidya, “Sensor System for Vehicle Safety”, EP2319031 A1, 2008. CROSSWORD 1 2 3 4 5 6 7 8 ACROSS 4. He led the development of Google's selfdriving car 6. Process of unauthorized modification 7. Ability to see/ perceive through eyes 8. The act of making or enacting laws 9. She opened the box filled with evils 10. Without Driver 10 9 DOWN 1. Winner of DARPA Grand Challenge 2005 2. The process of accurately ascertaining one's position and planning and following a route. 3. Combination of mechanical engineering, electrical engineering, control engineering and computer engineering 5. Winner of DARPA Urban Challenge 2007 Please send your answers to crest@kpit.com 18 TechTalk@<strong>KPIT</strong>, Volume 6, Issue 4, 2013
Scientist Profile Sebastian Thrun Scientist Profile “Build it. Break it. Improve it.” the Universal Law of Invention by a person who is an ALVA Award winner and the lead inventor behind Google Self Driving Car, Google Glass and the education start-up Udacity, Sebastian Thrun. He is currently working at Google as a VP and Fellow, and a part-time Research Professor of Computer Science at Stanford University. th Sebastian Thrun was born on 14 May, 1967 in Solingen, Germany. He is a son of Winfried and Kristin Thrun. In 1988, he received his bachelor's degree (B.Sc.) in computer science, economics, and medicine from the University of Hildesheim. He received his master's degree (M.Sc) and PhD, in 1993 and 1995 respectively, in computer science and statistics from University of Bonn. In 1994, he started the University of Bonn's Rhino project together with his doctoral thesis advisor Armin B. Cremers. His Ph.D. thesis problem statement is “Explanation-Based Neural Network (EBNN) Learning: A Lifelong Learning Approach”. The approach of EBNN learning algorithm is to learn meta-level problems by learning a theory of the domain. In 1995, he started his career at Carnegie Mellon University (CMU) in Computer Science Department as a research computer scientist. In 1997, Thrun developed the world's first robotic tour guide, along with his colleagues Wolfram Burgard and Dieter Fox. He became an assistant professor and co-director of computer science, robotics, and automated learning and discovery at CMU in 1998. Later in the same year, the furtherance robot named "Minerva" was set up in the Smithsonian's National Museum of American History in Washington, where the robot guided tens of thousands of visitors during a few weeks of deployment period. While working with CMU, he introduced a new Master's Program in Automated Learning and Discovery, which later became a Ph.D. program. In 2001, he promoted as an associate professor at CMU. In 2002, Thrun contributed in a project to develop mine mapping robots, along with his colleagues William L. Whittaker and Scott Thayer, two research professors at CMU. In 2003, Thrun joined Stanford University as an associate professor of computer science and electrical engineering. In 2004, he was appointed as a director of the Stanford Artificial Intelligence Laboratory (SAIL). At Stanford University, he got involved in the development of robot “Stanley”. He led the Stanford Racing Team, which in 2005 won the DARPA Grand Challengeand United States Department of Defense sponsored US$2 million as a prize, to support development of technologies needed to create the first fully autonomous vehicles. Later in 2007 DARPA Urban Challenge, Thrun team's robot “Junior” received runner-up prize. From 2007 to 2011, Thrun worked as a professor of computer science and electrical engineering at Stanford and in 2011 worked as Research professor of computer science. In 2007 to 2011, he linked with Google during vacations, along with few Stanford students. At Google, Thrun co-invented Google Street View which got “Best 100 Products of 2008” award. This technology included in Google Maps and Google Earth, provides panoramic views. It was launched on May 25, 2007, in a number of cities in the United States and they are in process of implementing the same in remaining areas which includes cities and rural areas worldwide. st On 1 April, 2011, Thrun resigned from Stanford to join Google as a Google Fellow. At Google, he started working on the development of the Google driverless car system. This is a project initiated by Google that involves developing technology for autonomous cars. These driverless cars use video cameras, radar sensors and a laser range finder to get traffic information, and also navigate the road ahead. About driverless automatic car Thrun says, "This is an opportunity to fix a really colossal, big problem for society. Robot drivers don't drink, get distracted, or fall asleep behind the wheel”. These driverless smart vehicles will reduce the amount of road accidents, the use of fuel and gas releases drastically according to Thrun. On January 23, 2012, Thrun founded an online private educational organization, 'Udacity' along with David Stavens, and Mike Sokolsky that offers massive open online courses. According to Thrun, the name Udacity comes from the company's objective to be "audacious for you, the student". Sebastian Thrun has received well know awards and recognitions for his work in various fields. In 2013, he received ALVA Award by 99U, which is given to a next great inventor who will not only imagine incredible ideas but also implement it. In 2012, he is awarded as “Global Thinker #4” by Foreign Policy in the list of top 100 Global Thinkers, The Next Establishment by Vanity Fair, Top 100 Scientists on Twitter and Initiative of the year Award by Chip. In 2011, The Fast Magazine Company called him fifth most creative person in Business in the world. In 2010, Time Magazine included his inventions in the list of best 50 inventions, and in 2008, his robot was titled as the best robot of all times by Wired Magazine. In 2005, he was named one of the Brilliant 5 by Popular Science Brilliant 10. He also received a NSF CAREER award from the National Science Foundation. He has received many more awards and recognitions apart from the mentioned above. Currently, he is also working on a project Google X, also known as Google Glass. According to him, Google Glass is a wearable computer with an optical head-mounted display. Glasses can cover vision based digital images, called heads-up displays, and is a supreme solution. “Google X is here to do moonshot-type projects,” Thrun said. “Not just shooting to the moon but bringing the moon back to Earth.” Prasad Pawar Areas of Interest Parallel computing, OS, Algorithms, Storage and Network Security TechTalk@<strong>KPIT</strong>, Volume 6, Issue 4, 2013 519
Page 1 and 2: TechTalk@KPIT a quarterly journal o
Page 3 and 4: Contents Editorial Guest Editorial
Page 5 and 6: Dr. Vinay G. Vaidya CTO KPIT Techno
Page 7 and 8: Journey Without Driver About the Au
Page 9 and 10: A. Stanford Cart - The First Smart
Page 11 and 12: autonomous vehicles in 2004. The Gr
Page 13 and 14: obtained by laser range finder. The
Page 15 and 16: To Be or Not To Be... A Driver Abou
Page 17 and 18: When the autonomous vehicle complet
Page 19: ultrasonic sensors, etc. provide vi
Page 23 and 24: Seeing Through Sensors About the Au
Page 25 and 26: Figure 1: A robotic Volkswagen Pass
Page 27 and 28: Figure 4: Infrared image of a stree
Page 29 and 30: Bringing Vision to Life About the A
Page 31 and 32: Radar needs an attention, there exi
Page 33 and 34: Sr. No. Table 1: List of patents fi
Page 35 and 36: Drive-By-Wire : A KPIT Case Study A
Page 37 and 38: the operational accuracy, it is har
Page 39 and 40: DRIVERS BRAKE HYDRAULIC MOTOR Manua
Page 41 and 42: Wired Through Wireless About the Au
Page 43 and 44: FORWARD OBSTACLE DETECTION AND AVOI
Page 45 and 46: Microcontroller Abstraction Layer (
Page 47 and 48: Autonomous Intelligent Vehicles Aut
Page 49 and 50: Inside Connected Vehicle About the
Page 51 and 52: D. Communications security (COMSEC)
Page 53 and 54: security built-in from the very beg
Page 55 and 56: Gazing Through a Crystal Ball About
Page 57 and 58: Thus, from a passenger acceptance a
Page 59 and 60: About KPIT Technologies Limited KPI

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