waymo-open-dataset VS carla

Interesting point about the Waymo dataset, though this reply suggests they have higher framerates and just don't release them.

Here's the full list of collisions and disengagements from the California DMV, as well as last year's full safety report from Waymo. Here are Waymo's white papers on readiness determinations, real-world collision analysis, collision avoidance, and simulated reconstructions, just to name a few. Portions of their raw data have also been made available to the community through the Waymo Open Dataset.

According to the dataset.proto file for range_image_compressed, the last channel should give an output whether a lidar point is in no label zone or not.

See https://github.com/waymo-research/waymo-open-dataset for more info.

First, if you haven't already, we encourage to check here to see if your questions have already been answered: https://github.com/waymo-research/waymo-open-dataset/issues

It sounds like you're looking for something like the CARLA simulator.

If you are looking for a different simulator, I would suggest using (Carla)[https://carla.org/] with ROS bridge and it also has an inbuilt support for OSM which worked flawlessly (you have to install it from source to get the OSM plugin).

(3) I would suggest you use CARLA or TORCS for self-driving cars in RL as they are common test beds.

carla env

Link to carla

There are a few ways you could go with this. A fun recent trend has been to make simulators in the unreal engine for photorealistic training. If you wanted to spend your whole project on the simulator part you could make your own environment, but I highly recommend using an open-source sim package. If you don't care too much about photorealism, you could use gazebo just fine. I've also made small visual worlds in blender, then simulated with RVIZ. Here's a good one with a focus on aerial robotics: https://theairlab.org/tartanair-dataset/ You could also give CARLA a spin for autonomous vehicles: https://carla.org/