The 2019.09 release of SVL Simulator is now available for download on our GitHub. This release includes several updates.
The simulator binary includes a sensor visualization user interface. You can use this to toggle on/off camera views, LiDAR and RADAR visualizations, as well as ground truth bounding boxes. We are working on extending this visualization to other sensors as well, including GPS and IMU.
You can view the main camera, semantic segmentation camera, RADAR.
LiDAR can be visualized, as well as ground truth bounding boxes.
You can now export HD maps from the simulator in OpenDrive 1.4 format. After creating a new 3D environment and adding HD map annotations (or using a default environment), you can export to OpenDrive and import into your autonomous driving system for HD map information including lanes, junctions, traffic signals, and traffic signs.
You can now control traffic lights in environments using the Python API. You can read more about how to use this feature in the documentation.
NPC vehicles now have additional functionality for more robust waypoints. You can set NPC vehicles to wait a certain amount of time before proceeding to a waypoint. You can now also specify a trigger distance, enabling an NPC vehicle to pause until its distance to the ego vehicle reaches the trigger distance. You can read about their usage in the documentation.
We have added a new 3D vehicle model, the 2018 Hyundai Nexo provided by Hyundai Motors, on the SVL Simulator Content site.
You can view the full release notes in our documentation.