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Articles 211 - 213 of 213
Full-Text Articles in Entire DC Network
3d Lidar Point Cloud Processing Algorithms, Bradford Scott Bondy
3d Lidar Point Cloud Processing Algorithms, Bradford Scott Bondy
Electronic Theses and Dissertations
In the race for autonomous vehicles and advanced driver assistance systems (ADAS), the automotive industry has energetically pursued research in the area of sensor suites to achieve such technological feats. Commonly used autonomous and ADAS sensor suites include multiples of cameras, radio detection and ranging (RADAR), light detection and ranging (LiDAR), and ultrasonic sensors. Great interest has been generated in the use of LiDAR sensors and the value added in an automotive application. LiDAR sensors can be used to detect and track vehicles, pedestrians, cyclists, and surrounding objects. A LiDAR sensor operates by emitting light amplification by stimulated emission of …
A Simulation Environment With Reduced Reality Gap For Testing Autonomous Vehicles, Kaival Kamleshkumar Patel
A Simulation Environment With Reduced Reality Gap For Testing Autonomous Vehicles, Kaival Kamleshkumar Patel
Electronic Theses and Dissertations
In order to facilitate acceptance and ensure safety, autonomous vehicles must be tested not only in typical and relatively safe scenarios but also in dangerous and less frequent scenarios. Recent pedestrian fatalities caused by test vehicles of the front-running giants like Google and Tesla suffice the fact that Autonomous Vehicle technology is not yet mature enough and still needs rigorous exposure to a wide range of traffic, landscape, and natural conditions on which the Autonomous Vehicles can be trained on to perform as expected in real traffic conditions. Simulation Environments have been considered as an efficient, safe, flexible and cost-effective …
Performance Evaluation Of Pathfinding Algorithms, Harinder Kaur Sidhu
Performance Evaluation Of Pathfinding Algorithms, Harinder Kaur Sidhu
Electronic Theses and Dissertations
Pathfinding is the search for an optimal path from a start location to a goal location in a given environment. In Artificial Intelligence pathfinding algorithms are typically designed as a kind of graph search. These algorithms are applicable in a wide variety of applications such as computer games, robotics, networks, and navigation systems. The performance of these algorithms is affected by several factors such as the problem size, path length, the number and distribution of obstacles, data structures and heuristics. When new pathfinding algorithms are proposed in the literature, their performance is often investigated empirically (if at all). Proper experimental …