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Visual navigation for wheeled autonomous robots - using Intel® RealSense™ Tracking Camera T265. 

Intel RealSense
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Robotics navigation is a key challenge that needs to be addressed by anyone designing autonomous robots. Phillip Schmidt from Intel provides a quick introduction to SLAM and sensor-fusion algorithms. He then gives an overview of latest Intel® RealSense™ cameras and demos how they are being used on a robot to navigate and perform obstacle avoidance. Philip also walks through some sample code for better understanding of these capabilities.
Learn more about Intel RealSense products on our website:
realsense.intel.com/

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11 мар 2019

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Комментарии : 18   
@SlavikLiman
@SlavikLiman 5 лет назад
Great talk, Phillip!
@maxschmidt86
@maxschmidt86 5 лет назад
Interesting talk with a lot of information! Smooth handling of the Q&A!
@zeev
@zeev 4 года назад
Love it!
@vikranj
@vikranj 4 года назад
any code samples for the setup with trutlebot2,d435 and t265 combined for v-slam?
@kerron_
@kerron_ 5 лет назад
I need to get one
@mechaliomar2447
@mechaliomar2447 5 лет назад
Can you describe the dynamic obstacles avoidance, and path planning approaches.
@nitishwadne2460
@nitishwadne2460 5 лет назад
Hello very nice application of Intel realsense d435. I want to ask a question can point cloud can be aligned with tracking poses from t265 camera? Can you tell how you achieved this.
@karankatiyar5414
@karankatiyar5414 3 года назад
cant we get the orientation of camera by using the dseries camera and running slam on video feed?
@OfficialNetDevil
@OfficialNetDevil 3 года назад
Why can’t intel actually acquire a smaller company that makes powered wheelchairs and start implementing instead of just talking about it’s potential? We are in 2021, why can’t we have a Tesla style wheelchair for the handicapped?
@rahul122112
@rahul122112 3 года назад
I tested the T265 in an outdoor environment, specifically a parking lot. The results were quite bad. The tracking looked like it suffered from scale issue both in translation and rotation...
@aldoguzman97
@aldoguzman97 3 года назад
Thank you for you’re sacrifice.
@rahul122112
@rahul122112 3 года назад
@@aldoguzman97 Eh? Just listing my observations. Not sure why you are on the edge with them...
@ImmoTrinks
@ImmoTrinks 5 лет назад
Since I have obtained the T265 yesterday I have tested the V-SLAM indoors with an impressively performance over some 3 minutes (I have not tested longer loops yet, I would need a larger flat). How long is the time window for loop closure detection and bundle adjustment? I will attempt large outdoor loops and am hoping for a stable performance.
@supershaye
@supershaye 5 лет назад
How was the performance outdoors?
@vikranj
@vikranj 4 года назад
Do you have any sample code which you can share? I still don't understand how to integrate d435 with t265 for v-slam.
@vantunguyen6205
@vantunguyen6205 5 месяцев назад
@AdvanceServicellc
@AdvanceServicellc 4 года назад
This is amazing Technology, perhaps I'm oversimplifying, but why would they not use a static position beacon as the whole point for the geometry of the mapping?
@IronReign
@IronReign 4 года назад
unknown environments? lack of permission to place beacons? non-technical operators? all sorts of reasons to find general solutions with fewer environment management requirements.
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