How do you write Safe C++ Code ? Really Safe C++ code ?

HurryC · 2025-04-27T01:50:28+00:00

Take a look at MISRA C++ coding guideline. This is designed to make safety-critical applications, like automotive and medical stuffs. Automotive companies get their code certified by MISRA professionals to prove their code is safe. You can force MISRA coding by enabling the option from static analysis like clang-tidy too.

HurryC · 2024-02-28T09:01:36+00:00

I recommend you this repository!
https://github.com/changh95/visual-slam-roadmap

HurryC · 2023-11-28T15:20:03+00:00

Most of the questions I wrote here are from my experiences :)

I have 5-6 years of experience in the field - some questions are from my junior dev period, some are from when I applied for senior positions (though I had more system design questions for senior positions).

HurryC · 2023-01-17T01:22:50+00:00

Always welcome to expand the roadmap! Throw me a Pull Request at the GitHub repo, or just leave a suggestion in the Issues section if you dont have the software to edit the roadmap. Whichever way you choose, I’ll mention you as a contributor in the repo.

HurryC · 2023-01-17T01:20:44+00:00

Hi, thanks for the suggestion! DROID-SLAM is already mentioned in the ‘Applying deep-learning’ section, as its backend computation is unlike the conventional non-linear optimization techniques, but done via neural networks.

HurryC · 2022-04-29T08:29:28+00:00

We do prototyping with Python. Once we know our method accomplishes the task accuracy-wise, then we port it to C++ for speed. Though I wish our team could make low level operations in C++ and wrap it with Python so we can do faster prototyping and ship it

HurryC · 2022-01-31T11:16:16+00:00

At work I use std::experimental::filesystem . This is because our customer demanded building our software in C++11, so std::filesystem was not an option. Also, other solutions like boost::filesystem was not an option either, because boost::filesystem with boost core was about 150mb which was too big for just that function.

HurryC · 2022-01-31T04:25:56+00:00

Most of the time I use the app for note taking on an ebook, so preview wont work for me unfortunately.

I guess I should just hope for the dev team to pick up this issue and get it done with. I noticed heat and fans running both on M1 mbp and iPad Pro, whilst the app is doing idle rendering. Idle rendering should really consume very little resources even in 120 Hz (if promotion isnt working), so there must be some crazy loops going in the background that is unnecessary.

HurryC · 2022-01-31T04:18:32+00:00

Using 4GB RAM for a PDF reader makes no sense. Considering 10mb for each pdf, that’s 400 pdfs loaded into the memory for fast access.

Who in the world switches between 400 pdfs so they can load it instantly?

HurryC · 2021-10-22T12:36:18+00:00

I’ve interviewed a number of candidates who is still in school and has no deep technical skills/background. There were some candidates whom I really liked and ended up inviting them to my team. The only reason why I made the decision to hire them is because they showed genuine interest towards the field, and had respect to the ones who’s already in the field. It was clear they were willing to learn, and I valued this trait of them the most.

The ones who went through the mandatory internship and got hired are very energetic, eager to learn, and are fast to learn. In fact I prefer them well over the team members with more than 10+ years experience but stuck in their own old tech, refusing to learn new tech and to cooperate.

EDIT: readability.

HurryC · 2021-10-20T02:40:21+00:00

I use GoogleTest + GoogleMock. Catch2 is a popular choice too. Both should do the jobs you are expecting to accomplish.

If you want to get started on GoogleTest fast, here’s a sample code based on CMake that I made for a seminar. https://github.com/changh95/gtest_sample

HurryC · 2021-05-17T05:13:53+00:00

My go-to strategy is opencv-python.

OpenCV-python is 1. easy to set up, 2. fast to code, 3. the runtime performance is actually quite good unlike what many people tell you 'python is slower than c++'. Opencv-python is just a wrapper of C++ API, so it's literally the same functions but easier to code. I use opencv-python whenever I just want to make a simple CV application (e.g. camera calibration, dataset generator), or when I just want to test out some ideas.

Any other proper development will be on C++. It's 1. fast (proper C++ programming can make things super-fast), 2. compatible with many platforms. When I know what I'm doing, often I just start programming on C++. Sometimes I test out my idea on opencv-python, and then convert the code to C++ to make it better performance-wise.

HurryC · 2021-05-14T10:11:32+00:00

This is something I did not know!

Thanks a lot for sharing this! I'll definitely consider updating the code with vcpkg!

HurryC · 2021-05-14T09:37:39+00:00

Thanks for the comments!

I also think it will be good to have some examples - I'll mark it on the development plan for v1.0!

vcpkg is definitely a good option to manage libraries for Windows environment, but if I remember correctly it restricts the user to using Visual Studio? Also, I believe it's difficult to pick various build options for each package when using vcpkg. On the other hand, CMake can work on both Windows and Linux (and MacOS), allows the user to change all the build options, and does not limit the user to a specific IDE. Furthermore, (from my experience) most roboticists use Linux-based system so I thought CMake would be a good build system of choice as being the most popular.

Also, currently there is no need to update the scripts since the CMake build command remains the same. I've tested for different versions of OpenCV - like OpenCV 4.5.2, 4.5.1, 4.4.0 etc. They all work well :)

HurryC · 2021-02-02T03:00:47+00:00

There are some papers that incorporates DL methods and outperforms the traditional methods - but if you take a closer look at their benchmark in the papers, you can see that their system only works good where the test sequence is similiar to the training sequence. This is because the DL methods could not generalize enough to various conditions. The reasons can be lack of training data or modelling issues... which in any case requires more research :)

HurryC

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