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2020-12-18 12:53:16 -0500 marked best answer vision_ssd_detect cannot be launched (fine compilation of ssdcaffe and CUDA enabled device)

Hi all,

It's not possible to launch vision_ssd_detect because it is not possible to find the "libcaffe.so.1.0.0-rc3". Compilation with ssdcaffe went well (followed http://caffe.berkeleyvision.org/insta...) and then make & make distribute. I am not able to track where this issue is coming from. I attach the terminal output for ./colcon_release with CUDA flag 1 for debugging purposes.

System Specs:

Ubuntu 16.04 ROS Kinetic Autoware git commit: 42aba146 CUDA 8.0

Autoware build result - SSDCAFFE build result and .launch log file: 1- https://drive.google.com/file/d/1Epki... 2- https://drive.google.com/file/d/1UPDz... 3- https://drive.google.com/file/d/1ltTW...

/home/ocp/Autoware/ros/install/runtime_manager/lib/runtime_manager/runtime_manager_dialog.py:2865: wxPyDeprecationWarning: Call to deprecated item. wx.InitAllImageHandlers() Unable to register with master node [http://localhost:11311]: master may not be running yet. Will keep trying. loading qs.yaml Subscribe[localization] topic=/ndt_stat, key=/ndt_stat.NDTStat.exe_time Subscribe[detection] topic=/topic2, key=/topic2 Subscribe[detection] topic=/topic1, key=/topic1 loading setup.yaml ['rosparam', 'set', 'tf_x', '1.2'] ['rosparam', 'set', 'tf_y', '0.0'] ['rosparam', 'set', 'tf_z', '2.0'] ['rosparam', 'set', 'tf_yaw', '0.0'] ['rosparam', 'set', 'tf_pitch', '0.0'] ['rosparam', 'set', 'tf_roll', '0.0'] ['rosparam', 'set', 'localizer', 'velodyne'] loading map.yaml loading sensing.yaml loading computing.yaml loading interface.yaml loading data.yaml loading simulation.yaml ['rosparam', 'set', '/use_sim_time', 'false'] loading status.yaml loading state.yaml loading topics.yaml ['roslaunch', 'vision_ssd_detect', 'vision_ssd_detect.launch', 'score_threshold:=0.6', 'image_src:=/image_raw', 'network_definition_file:=/home/ocp/ssdcaffe/models/VGGNet/VOC0712Plus/SSD_300x300/deploy.prototxt', 'pretrained_model_file:=/home/ocp/ssdcaffe/models/VGGNet/VOC0712Plus/SSD_300x300/VGG_VOC0712Plus_SSD_300x300_iter_240000.caffemodel', 'use_gpu:=True', 'gpu_device_id:=0'] pid=2337 sched policy=OTHER prio=0 /home/ocp/Autoware/ros/install/vision_ssd_detect/lib/vision_ssd_detect/vision_ssd_detect: error while loading shared libraries: libcaffe.so.1.0.0-rc3: cannot open shared object file: No such file or directory [vision_ssd_detect-1] process has died [pid 2356, exit code 127, cmd /home/ocp/Autoware/ros/install/vision_ssd_detect/lib/vision_ssd_detect/vision_ssd_detect __name:=vision_ssd_detect __log:=/home/ocp/.ros/log/d9212ea6-9a00-11e9-8b7c-a4fc771a0d0d/vision_ssd_detect-1.log]. log file: /home/ocp/.ros/log/d9212ea6-9a00-11e9-8b7c-a4fc771a0d0d/vision_ssd_detect-1*.log /image_raw

Thanks in advance!

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2020-02-05 14:13:26 -0500 marked best answer Euclidean Cluster Detect - Parameter description

Hi all,

I was wondering where I can find any documentation on lidar_euclidean_cluster_detect package developed in autowre. I can get it work just fine but I would like to read any publications about it as I am dealing with specific parameters now, any papers etc.

Thanks!

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2020-01-27 16:06:27 -0500 commented answer Euclidean Cluster Detect - Parameter description

Thanks, I was looking more for the theory behind it e.g. publications. the ReadMe seems to be informative for parameters

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2020-01-23 18:03:24 -0500 asked a question Euclidean Cluster Detect - Parameter description

Euclidean Cluster Detect - Parameter description Hi all, I was wondering where I can find any documentation on lidar_eu

2019-11-17 21:57:05 -0500 commented answer Documentation on OpenPlanner (Autoware)

@Hatem,. Yes I do have vectormap read and available in rostopics (however my vectormap includes whiteline, point node li

2019-11-17 21:53:32 -0500 edited question Documentation on OpenPlanner (Autoware)

Documentation on OpenPlanner (Autoware) Hi all, I was wondering if there is any documentation on using openplanner on

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2019-11-17 21:48:32 -0500 commented answer Documentation on OpenPlanner (Autoware)

@Hatem, I checked what you suggested. The object is detected and is located properly by the motion predictor. Trajectory

2019-11-06 18:44:26 -0500 commented answer Documentation on OpenPlanner (Autoware)

Thanks Hatem, your solution worked for locating objects correctly in the environments. But I found why it did not work,

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2019-10-21 23:32:04 -0500 commented answer Documentation on OpenPlanner (Autoware)

I am localising the vehicle using proper nodes then: ray_ground_filter vel_pose_connect lidar_euclidean_cluster_detect l

2019-10-20 19:36:49 -0500 commented answer Documentation on OpenPlanner (Autoware)

Hi Hatem, I tried to replicate the result in the video on youtube with the most recent version of Autoware on ROS Kineti

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2019-09-23 19:59:03 -0500 answered a question How to implement obstacles avoidance in Autoware

I am also interested in this topic. I used open planner and dp planner and so multiple paths are generated and an altern

2019-09-20 16:17:10 -0500 commented answer Documentation on OpenPlanner (Autoware)

Thanks, the video is indeed helpful. But I was looking for more of a written instruction and explanations. specially reg

2019-09-11 18:12:50 -0500 marked best answer Documentation on OpenPlanner (Autoware)

Hi all,

I was wondering if there is any documentation on using openplanner on autoware. I found the publication about open planner which explains the package itself in details but there is no instruction on how to use it, what nodes to launch and etc.

Update: This question is about detecting and using obstacle information in deciding on lane trajectories the vehicle should take.

With Obstacle: image description No Obstacle: image description Thanks. Cheers .

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2019-08-22 23:16:39 -0500 asked a question Documentation on OpenPlanner (Autoware)

Documentation on OpenPlanner (Autoware) Hi all, I was wondering if there is any documentation on using openplanner on

2019-08-22 23:06:42 -0500 answered a question Adding a topic to an existing rosbag file

One way is what was mentioned in the first comment. Another way is to let this calculation and new topic be published an

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