soldierofhell

Hi, actually my questions refer to pyramid label generation, not the cropping, but I'll use this issue quotes :) > 1. Considering the training speed, we keep the mask in...

Thank you @JingChaoLiu for your valuable analysis. It seems like current maskrcnn-benchmark approach is closer to 2., because there're basically three steps: * crop (actually only origin translation) * resize...

We did a project with vehicle of size compared to large SUV with double Ackermann steering with TEB / SBPL Lattice combo in ROS1. Worked like a charm :)

Hi @harderthan, unfortunatelly I can't say much of technical details cause it's proprietary project. But you can sense about the size of the platform from footage and materials publictly available...

Hi @SteveMacenski, as for Hybrid-A*, is there any draft on this planner? I'll need it soon, so I'm gonna do this, but it would be good to have some starting...

I did my first approch, but seems like A* is too slow on large grid. Does anyone know any efficient parallization of A* on CPU?

I'd compare probabilistic methods (like RRT*) vs search based to Monte Carlo integration vs regular quadratures. Probabilistic methods are for higher dimension spaces, to overcome curse of dimensionality. This is...

Nothing against fuse, but I'd vote for gtsam. There're many great localization framework build with gtsam, in particular VIO and LIO. But you can also build simple imu + gps...

I've pointed gtsam_fusion code as an example of simple localization with python api. There're other projects like https://github.com/ilnehc/gtsam_ros, as well as tons of visual/lidar odometry/slam, just to mention rtabmap, kimera,...

This was mentioned on nav2 slack, so I'm adding it to list: [WOLF: A modular estimation framework for robotics based on factor graphs](https://arxiv.org/abs/2110.12919) . Surprisingly, factor graphs not in gtsam...