nuplan-devkit
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motional
The devkit of the nuPlan dataset.
Hello, first of all, great work on the devkit! It makes working with the databases much easier :) During working on my own visualization for the mini db files, I...
### Describe the bug sqlalchemy.exc.ArgumentError: Type annotation for "Scene.goal_ego_pose" can't be correctly interpreted for Annotated Declarative Table form. ORM annotations should normally make use of the Mapped[] generic type, or...
Hi all, We have received questions from several people on if the nuPlan submission server will be reopened in the future. Here is a quick Q/A: ## Will the nuPlan...
Exploring the code I see that Traffic light status contains the TrafficLightStatusType, lane_connector_id and timestamp: ``` class TrafficLightStatusData: """Traffic light status.""" status: TrafficLightStatusType # Status: green, red lane_connector_id: int #...
I understand that the missing mission goal scenes may be low-quality data, but I‘m curious about what causes this phenomenon. If my ml-based planner does not use mission goals (only...
Dear motional developers, My personal understanding is: each db file contains one log, which can be several minutes long, and each log is sliced into several scenes, each of which...
I wrote a feature builder and target builder and created a model class that inherits from torchModuleWrapper. I also wrote a new objective class based on my model. These components...
In the doc, we have driving_direction_compliance in challenges 2&3 weights 5.0 while in the provided code, it's a multiple_metric.
I trained 20 epochs with the LaneGCN provided by nuplan-devkit, and used the entire mini dataset. When doing closed-loop simulation on several scenes, I found that the ego-car always drives...
A RUNTIMEWARNING message always happen when run training, without interrupting the training process
It seems that it did not affect or interrupt the training process, but it looks too much: `/root/code/nuplan-devkit/nuplan/common/maps/nuplan_map/utils.py:413: RuntimeWarning: invalid value encountered in cast return elements.iloc[np.where(elements[column_label].to_numpy().astype(int) == int(desired_value))]` how can...