xlightx's profile - activity

Nice job though, thank you!

Thank you very much, that's very helpful. I will take a look into what you did, but the gcs_bridge node from mavros migh

This was a long time ago, but did you find any solution? Or is mavros an overkill if I just want "basic communication"?

Having several realsense sensor in my robot, I think that will affect all. Right?

Hi. I am using realsense_ros yes. I did it different ways: - Explained above. - Using throttle from topic tools, still s

Realsense T265 communication issue Hi all, I am trying to work on the new realsense t265 with the robot_localization on

My firmware version of this sensor is U72A and still has the drift. I can't find the older drivers anywhere. Does anyone

Did you find any solutions? I am assuming that this is happening because you are using the yaw information from the imu

I don't think that solves my problem. What i need is a way to fake plan it

You're right @Humpelstilzchen. I don't wan to decrease it to much, might cause some serious crashes

Exaclty. My initial thought was: I'm gonna try to get a plan and go through the plan poses until i get one that is feasi

@Humpelstilzchen, I posted an update on my original post. Thanks for your help!

Reach closer position to goal with obstacle in the middle Hi everyone, My problem is the following: I'm working in a pr

Reach closer position to goal with obstacle in the middle Hi everyone, My problem is the following: I'm working in a pr

Reach closer position to goal with obstacle in the middle Hi everyone, My problem is the following: I'm working in a pr

Reach closer position to goal with obstacle in the middle Hi everyone, My problem is the following: I'm working in a pr

Reach closer position to goal with obstacle in the middle Hi everyone, My problem is the following: I'm working in a pr

Hello. Would it be possible to get you e-mail? I ran into some problem :)

thank you very much for your answer! I'm going to try this :) I'll give you some feedback later!

Hi! I'm now working on a human-aware navigation problem in which I need to have a good people tracker from several sensors onboard and offboard. I have a pretty good detector already that gives me a bounding box that I can use and discover the position of the person on the world frame.

From this point on I need to implement a tracker that uses this position as input each new frame of the detector. I used already the Kalman Filter from OpenCv. After using this I thought that might be more interesting to use the Particle Filter, because it might make the data association from different sensors easier, if each sensor contributes with particles. Am I right? For the PF almost all the implementations that I checked were based on color features, not positions, for the tracker, meaning that the tracking is done on the image.

Anyone can help me with opinions on the Kalman Vs Particle on this matter? And anyone knows any implementation that might fit what I'm searching?

Thanks in advance.

Hi! I'm now working on a human-aware navigation problem in which I need to have a good people tracker from several sensors onboard and offboard. I have a pretty good detector already that gives me a bounding box that I can use and discover the position of the person on the world frame.

From this point on I need to implement a tracker that uses this position as input each new frame of the detector. I used already the Kalman Filter from OpenCv. After using this I thought that might be more interesting to use the Particle Filter, because it might make the data association from different sensors easier, if each sensor contributes with particles. Am I right? For the PF almost all the implementations that I checked were based on color features, not positions, for the tracker, meaning that the tracking is done on the image.

Anyone can help me with opinions on the Kalman Vs Particle on this matter? And anyone knows any implementation that might fit what I'm searching?

Thanks in advance.