Motion Planning - Finding smooth optimal paths using Hybrid A*/Astar for autonomous vehicles
9.1 هزار بار بازدید -
4 سال پیش
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In this video, I have
In this video, I have explained how hybrid A*/Astar algorithm works. This algorithm is particularly useful in finding smooth optimal paths going from start node to goal node. These paths can be tracked closely by self driving vehicles as this algorithm incorporates vehicle dynamics.
Hybrid A*/Astar was used in a self driving car called Junior, which was Stanford University's entry in Darpa Urban Challenge. The link to their work is given here: http://robots.stanford.edu/papers/jun...
This is the fifth video in the series on "Motion Planning". In case you haven't watched the video on A*/Astar algorithm, here is the link:
Motion Planning - Finding shortest ro...
If you have any questions/suggestions, let me know in the comments section.
Here are the time stubs for this video:
0:00 - Difference between Hybrid A*/Astar and A*/Astar
2:40 - How Hybrid Astar/A* works?
13:47 - More examples of paths given out by Hybrid A* & A*
15:18 - Hybrid A* being used in autonomous vehicles
Hybrid A*/Astar was used in a self driving car called Junior, which was Stanford University's entry in Darpa Urban Challenge. The link to their work is given here: http://robots.stanford.edu/papers/jun...
This is the fifth video in the series on "Motion Planning". In case you haven't watched the video on A*/Astar algorithm, here is the link:
Motion Planning - Finding shortest ro...
If you have any questions/suggestions, let me know in the comments section.
Here are the time stubs for this video:
0:00 - Difference between Hybrid A*/Astar and A*/Astar
2:40 - How Hybrid Astar/A* works?
13:47 - More examples of paths given out by Hybrid A* & A*
15:18 - Hybrid A* being used in autonomous vehicles
4 سال پیش
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