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Toward Autonomous Driving:

Toward Autonomous Driving:af Mauro Bellone
Bag om Toward Autonomous Driving:

In few years, the age of intelligent machines will grow up towards a worldwide technological transformation and it will be one of the most revolutionary of the history as much as the industrial revolution. Advanced robots will accomplish complex tasks breaking up new boundaries in fields such as fully autonomous driving or personal assistance in a global diffusion. Focusing on autonomous driving, society and industry have great interest in developing such vehicles since they could enhance safety and comfort in the transportation system. While autonomous driving in realistic situations remains a challenging problem, the DARPA challenge (Buehler et al., 2007) and the Urban Challenge in 2004 and 2007 (Leonard et al., 2009) have clearly shown that such a challenge could be reasonably addressed thanks to the recent progresses in the field of perception and autonomous navigation for unmanned vehicles. Urmson et al. (2007) used a hierarchical control system for planning and sensing to win the urban challenge in 2007 with the Carnegie Mellon University Tartan Racing team.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783639656893
  • Indbinding:
  • Paperback
  • Sideantal:
  • 136
  • Udgivet:
  • 13. december 2018
  • Størrelse:
  • 150x9x220 mm.
  • Vægt:
  • 221 g.
  • 2-3 uger.
  • 16. december 2024
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Forlænget returret til d. 31. januar 2025

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Beskrivelse af Toward Autonomous Driving:

In few years, the age of intelligent machines will grow up towards a worldwide technological transformation and it will be one of the most revolutionary of the history as much as the industrial revolution. Advanced robots will accomplish complex tasks breaking up new boundaries in fields such as fully autonomous driving or personal assistance in a global diffusion. Focusing on autonomous driving, society and industry have great interest in developing such vehicles since they could enhance safety and comfort in the transportation system. While autonomous driving in realistic situations remains a challenging problem, the DARPA challenge (Buehler et al., 2007) and the Urban Challenge in 2004 and 2007 (Leonard et al., 2009) have clearly shown that such a challenge could be reasonably addressed thanks to the recent progresses in the field of perception and autonomous navigation for unmanned vehicles. Urmson et al. (2007) used a hierarchical control system for planning and sensing to win the urban challenge in 2007 with the Carnegie Mellon University Tartan Racing team.

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