Robust Perception From Optical Sensors For Reactive Behaviors In Autonomous Robotic Vehicles
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Robust Perception from Optical Sensors for Reactive Behaviors in Autonomous Robotic Vehicles
Alexander Schaub examines how a reactive instinctive behavior, similar to instinctive reactions as incorporated by living beings, can be achieved for intelligent mobile robots to extend the classic reasoning approaches. He identifies possible applications for reactive approaches, as they enable a fast response time, increase robustness and have a high abstraction ability, even though reactive methods are not universally applicable. The chosen applications are obstacle avoidance and relative positioning – which can also be utilized for navigation – and a combination of both. The implementation of reactive instinctive behaviors for the identified tasks is then validated in simulation together with real world experiments.
Robot, Take the Wheel
Author: Jason Torchinsky
language: en
Publisher: Apollo Publishers
Release Date: 2019-05-07
From famed automotive journalist Jason Torchinsky comes a witty insider’s guide to self-driving cars, the automated future, and the road ahead. Self-driving cars sound fantastical and futuristic and yet they’ll soon be on every street in America. Whether it’s Tesla’s Autopilot, Google’s Waymo, Mercedes’s Distronic, or Uber’s modified Volvo, companies around the world are developing autonomous cars. But why? And what will they mean for the auto industry and humanity at large? In Robot, Take the Wheel, Torchinsky, cofounder of The Autopian and former senior editor of Jalopnik, star of Jason Drives, and producer of Jay Leno's Garage, gives a colorful account of the development of autonomous vehicles and considers their likely implications. He encourages us to think of self-driving cars as an entirely new machine, something beyond cars as we understand them today, and considers how humans will get along with these robots that will take over our cars’ jobs, what they will look like, what sorts of jobs they may do, what we can expect of them, how they should act, ethically, how we can have fun with them, and how we can make sure there’s still a place for those of us who love to drive, especially with a manual transmission. This vibrant volume brimming with insider knowledge, humor, and original artwork pushes us to reconsider our understanding of cars, raises fascinating ethical questions, and compels us to act now to shape the automated future.
Machine Vision and Navigation
This book presents a variety of perspectives on vision-based applications. These contributions are focused on optoelectronic sensors, 3D & 2D machine vision technologies, robot navigation, control schemes, motion controllers, intelligent algorithms and vision systems. The authors focus on applications of unmanned aerial vehicles, autonomous and mobile robots, industrial inspection applications and structural health monitoring. Recent advanced research in measurement and others areas where 3D & 2D machine vision and machine control play an important role, as well as surveys and reviews about vision-based applications. These topics are of interest to readers from diverse areas, including electrical, electronics and computer engineering, technologists, students and non-specialist readers. • Presents current research in image and signal sensors, methods, and 3D & 2D technologies in vision-based theories and applications; • Discusses applications such as daily use devices including robotics, detection, tracking and stereoscopic vision systems, pose estimation, avoidance of objects, control and data exchange for navigation, and aerial imagery processing; • Includes research contributions in scientific, industrial, and civil applications.