AutonomousDrivingCookbook | Scenarios , tutorials and demos | Robotics library

 by   microsoft Jupyter Notebook Version: Current License: MIT

kandi X-RAY | AutonomousDrivingCookbook Summary

kandi X-RAY | AutonomousDrivingCookbook Summary

AutonomousDrivingCookbook is a Jupyter Notebook library typically used in Automation, Robotics, Deep Learning, Tensorflow applications. AutonomousDrivingCookbook has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Scenarios, tutorials and demos for Autonomous Driving

            kandi-support Support

              AutonomousDrivingCookbook has a medium active ecosystem.
              It has 2134 star(s) with 546 fork(s). There are 132 watchers for this library.
              It had no major release in the last 6 months.
              There are 32 open issues and 87 have been closed. On average issues are closed in 15 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of AutonomousDrivingCookbook is current.

            kandi-Quality Quality

              AutonomousDrivingCookbook has no bugs reported.

            kandi-Security Security

              AutonomousDrivingCookbook has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              AutonomousDrivingCookbook is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              AutonomousDrivingCookbook releases are not available. You will need to build from source code and install.

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            AutonomousDrivingCookbook Key Features

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            AutonomousDrivingCookbook Examples and Code Snippets

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            Community Discussions


            URDF loading incorrectly in RVIZ but correctly on Gazebo, what is the issue?
            Asked 2022-Mar-22 at 13:41

            I have imported a urdf model from Solidworks using SW2URDF plugin. The model loads correctly on Gazebo but looks weird on RVIZ, even while trying to teleoperate the robot, the revolute joint of the manipulator moves instead of the wheels. Is there anyone who has faced this issue before or has a solution to it? Here is how it looks on Gazebo

            Here is how it looks on RVIZ

            Here is the URDF file of the Model:



            Answered 2022-Mar-22 at 13:41

            So, I realized two problems:

            First, you have to change the fixed frame in the global options of RViz to world or provide a transformation between map and world.

            Second, your URDF seems broken. There is something wrong with your revolute-typed joints. Changing their type to fixed fixed the problem. I think, it's best if you ask a separate question with a minimal example regarding this second problem.



            How can i find the position of "boundary boxed" object with lidar and camera?
            Asked 2022-Feb-24 at 23:23

            This question is related to my final project. In gazebo simulation environment, I am trying to detect obstacles' colors and calculate the distance between robot and obstacles. I am currently identifying their colors with the help of OpenCV methods (object with boundary box) but I don't know how can i calculate their distances between robot. I have my robot's position. I will not use stereo. I know the size of the obstacles. Waiting for your suggestions and ideas. Thank you!

            My robot's topics :

            • cameras/camera/camera_info (Type: sensor_msgs/CameraInfo)
            • cameras/camera/image_raw (Type: sensor_msgs/Image)
            • sensors/lidars/points (Type: sensor_msgs/PointCloud2)


            Answered 2022-Feb-24 at 23:23

            You can project the point cloud into image space, e.g., with OpenCV (as in here). That way, you can filter all points that are within the bounding box in the image space. Of course, projection errors because of differences between both sensors need to be addressed, e.g., by removing the lower and upper quartile of points regarding the distance to the LiDAR sensor. You can use the remaining points to estimate the distance, eventually.

            We have such a system running and it works just fine.



            What is the more common way to build up a robot control structure?
            Asked 2022-Feb-12 at 15:18

            I’m a college student and I’m trying to build an underwater robot with my team.

            We plan to use stm32 and RPi. We will put our controller on stm32 and high-level algorithm (like path planning, object detection…) on Rpi. The reason we design it this way is that the controller needs to be calculated fast and high-level algorithms need more overhead.

            But later I found out there is tons of package on ROS that support IMU and other attitude sensors. Therefore, I assume many people might build their controller on a board that can run ROS such as RPi.

            As far as I know, RPi is slower than stm32 and has less port to connect to sensor and motor which makes me think that Rpi is not a desired place to run a controller.

            So I’m wondering if I design it all wrong?



            Answered 2022-Feb-12 at 15:18

            Robot application could vary so much, the suitable structure shall be very much according to use case, so it is difficult to have a standard answer, I just share my thoughts for your reference.

            In general, I think Linux SBC(e.g. RPi) + MCU Controller(e.g. stm32/esp32) is a good solution for many use cases. I personally use RPi + ESP32 for a few robot designs, the reason is,

            1. Linux is not a good realtime OS, MCU is good at handling time critical tasks, like motor control, IMU filtering;
            2. Some protection mechnism need to be reliable even when central "brain" hang or whole system running into low voltage;
            3. MCU is cheaper, smaller and flexible to distribute to any parts inside robot, it also helps our modularized design thinking;
            4. Many new MCU is actually powerful enough to handle sophisticated tasks and could offload a lot from the central CPU;



            How can I find angle between two turtles(agents) in a network in netlogo simulator?
            Asked 2021-Dec-15 at 10:03

            In a formation robots are linked with eachother,number of robots in a neighbourhood may vary. If one robot have 5 neighbours how can I find the angle of that one robot with its other neighbour?



            Answered 2021-Dec-15 at 10:03

            (Following a comment, I replaced the sequence of <face + read heading> with just using towards, wich I had overlooked as an option. For some reason the comment I am referring to has been deleted quickly so I don't know who gave the suggestion, but I read enough of it from the cell notification)

            In NetLogo it is often possible to use turtles' heading to know degrees.

            Since your agents are linked, a first thought could be to use link-heading, which directly reports the heading in degrees from end1 to end2.

            However note that this might not be ideal: using link-heading will work spotlessly only if you are interested in knowing the heading from end1 to end2, which means:

            If that's something that you are interested in, fine. But it might not be so! For example, if you have undirected links and are interested in knowing the angle from turtle 1 to turtle 0, using link-heading will give you the wrong value:



            Targetless non-overlapping stereo camera calibration
            Asked 2021-Dec-08 at 03:13

            Overlapping targetless stereo camera calibration can be done using feautre matchers in OpenCV and then using the 8-point or 5-point algoriths to estimate the Fundamental/Essential matrix and then use those to further decompose the Rotation and Translation matrices.

            How to approach a non-overlapping stereo setup without a target?

            Can we use visual odometry (like ORB SLAM) to calculate trajectory of both the cameras (cameras would be rigidly fixed) and then use hand-eye calibration to get the extrinsics? If yes, how can the transformations of each trajectory mapped to the gripper->base transformation and target->camera transformation? Or is there another way to apply this algorithm?

            If hand-eye calibration cannot be used, is there any recommendations to achieve targetless non-overlapping stereo camera calibration?



            Answered 2021-Dec-08 at 03:13

            Hand-eye calibration is enough for your case. Just get the trajectory from each camera by running ORBSLAM. Then, calculate the relative trajectory poses on each trajectory and get extrinsic by SVD. You might need to read some papers to see how to implement this.

            This is sometimes called motion-based calibration.



            ROS: Publish topic without 3 second latching
            Asked 2021-Nov-29 at 18:44

            As a premise I must say I am very inexperienced with ROS.

            I am trying to publish several ros messages but for every publish that I make I get the "publishing and latching message for 3.0 seconds", which looks like it is blocking for 3 seconds.

            I'll leave you with an example of how I am publishing one single message:



            Answered 2021-Nov-29 at 18:44

            Part of the issue is that rostopic CLI tools are really meant to be helpers for debugging/testing. It has certain limitations that you're seeing now. Unfortunately, you cannot remove that latching for 3 seconds message, even for 1-shot publications. Instead this is a job for an actual ROS node. It can be done in a couple of lines of Python like so:



            How to access the Optimization Solution formulated using Drake Toolbox
            Asked 2021-Nov-20 at 02:41

            A c++ novice here! The verbose in the terminal output says the problem is solved successfully, but I am not able to access the solution. What is the problem with the last line?



            Answered 2021-Nov-20 at 02:41

            You will need to change the line



            Detect when 2 buttons are being pushed simultaneously without reacting to when the first button is pushed
            Asked 2021-Oct-22 at 16:58

            I'm programming a robot's controller logic. On the controller there is 2 buttons. There is 3 different actions tied to 2 buttons, one occurs when only the first button is being pushed, the second when only the second is pushed, and the third when both are being pushed.

            Normally when the user means to hit both buttons they would hit one after another. This has the consequence of executing a incorrect action.

            Here is part of the code.



            Answered 2021-Oct-22 at 16:58

            You could use a short timer, which is restarted every time a button press is triggered. Every time the timer expires, you check all currently pressed buttons. Of course, you will need to select a good timer duration to make it possible to press two buttons "simultaneously" while keeping your application feel responsive.

            You can implement a simple timer using a counter in your loop. However, at some point you will be happier with an event based architecture.



            Why does my program makes my robot turn the power off?
            Asked 2021-Oct-19 at 05:05

            I'm trying to put together a programmed robot that can navigate the room by reading instructions off signs (such as bathroom-right). I'm using the AlphaBot2 kit and an RPI 3B+.

            the image processing part works well, but for some reason, the MOTION CONTROL doesn't work. I wrote a simple PID controller that "feeds" the motor, but as soon as motors start turning, the robot turns off.



            Answered 2021-Oct-03 at 14:33

            It is probably not the software. Your power supply is not sufficient or stable enough to power your motors and the Raspberry Pi. It is a very common problem. Either:

            • Use separate power supplies which is recommended
            • Or Increase your main power supply and use some short of stabilization of power

            What power supply and power configuration are you using?



            How to set up IK Trajectory Optimization in Drake Toolbox?
            Asked 2021-Oct-16 at 18:09

            I have read multiple resources that say the InverseKinematics class of Drake toolbox is able to solve IK in two fashions: Single-shot IK and IK trajectory optimization using cubic polynomial trajectories. (Link1 Section 4.1, Link2 Section II.B and II.C)
            I have already implemented the single-shot IK for a single instant as shown below and is working, Now how do I go about doing it for a whole trajectory using dircol or something? Any documentation to refer to?



            Answered 2021-Oct-16 at 18:09

            The IK cubic-polynomial is in an outdated version of Drake. You can check out In the folder drake/matlab/systems/plants@RigidBodyManipulator/inverseKinTraj.m


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


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            Please read the instructions and guidelines for collaborators if you wish to add a new tutorial to the cookbook. This project welcomes and encourages contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA. This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact with any additional questions or comments.
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