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Technology Review #2: Autonomous Vehicles
Transportation Systems Sector
CSIA 459
Over the past years innovation within the automotive industry has created safer, cleaner and more affordable vehicles. Many industries are getting closer to “self-driving” vehicle. The possible significant benefits to this innovation- saving lives, reducing crashes, fuel consumption, pollution and increase in mobility for disable and elderly people. We are going to take a closer look at autonomous vehicles. These types of vehicles are self-driven and no need of hands. First, let’s take a look on what is an autonomous vehicle is and what it does. Car industries have stun the world with limited hands on driving to car parking themselves completely on their own. With Autonomous vehicles a driver puts in the location he or she is trying to get too. The car’s global position system (GPS) finds the location, the quickies way and goes. The car has sensors and radar to find other cars and objects on the road and can safely merge lanes without any assistants.” Autonomous Vehicles (AVs) are getting increasing attention from the research community in recent years. A major concern however is the lack of usable verification and certification techniques of AVs to ensure safety of passengers. Research on AVs’ safety have principally focused on: formal methods (requiring rigorous formal modeling and analysis expertise) to verify safe behavior of AVs’ control system and designing motion control and collision avoidance algorithms that ensure safe behavior” (Kandula, Mukherjee, Gupta,2011). Autonomous Vehicles engineers are working on how to maintain safety for everyone on the road. From the autonomous vehicles, pedestrians, stop signs and other vehicles on the road.
Automotive systems have become more dependent on software innovations in the past ten years. The University of Washington and the University of California-San Diego (UW-UCSD) Center for Automotive Embedded System
Transportation Systems Sector
CSIA 459
Over the past years innovation within the automotive industry has created safer, cleaner and more affordable vehicles. Many industries are getting closer to “self-driving” vehicle. The possible significant benefits to this innovation- saving lives, reducing crashes, fuel consumption, pollution and increase in mobility for disable and elderly people. We are going to take a closer look at autonomous vehicles. These types of vehicles are self-driven and no need of hands. First, let’s take a look on what is an autonomous vehicle is and what it does. Car industries have stun the world with limited hands on driving to car parking themselves completely on their own. With Autonomous vehicles a driver puts in the location he or she is trying to get too. The car’s global position system (GPS) finds the location, the quickies way and goes. The car has sensors and radar to find other cars and objects on the road and can safely merge lanes without any assistants.” Autonomous Vehicles (AVs) are getting increasing attention from the research community in recent years. A major concern however is the lack of usable verification and certification techniques of AVs to ensure safety of passengers. Research on AVs’ safety have principally focused on: formal methods (requiring rigorous formal modeling and analysis expertise) to verify safe behavior of AVs’ control system and designing motion control and collision avoidance algorithms that ensure safe behavior” (Kandula, Mukherjee, Gupta,2011). Autonomous Vehicles engineers are working on how to maintain safety for everyone on the road. From the autonomous vehicles, pedestrians, stop signs and other vehicles on the road.
Automotive systems have become more dependent on software innovations in the past ten years. The University of Washington and the University of California-San Diego (UW-UCSD) Center for Automotive Embedded System