Comments (1)
- right_dataset and left_dataset are generated from the route xml files for Scenarios 8 and 9. However, we combine these routes with an empty scenario json file. This gives data at left and right turns, but without the added complexity of background traffic running red lights and entering the intersection. In our follow-up projects, we stopped generating these additional folders, which does not significantly impact the driving performance.
- The provided routes will result in the same data distribution as our released dataset. The folder names are a result of some naming inconsistencies in preliminary versions of the route and scenario files, and the names shouldn't be relevant for reproducing the dataset.
- The training routes are sampled densely (e.g. from all intersections) in a town, so the static environment encountered in the Longest6 evaluation routes is indeed overlapping with the training set at several locations. That said, the model does not see the exact same weather, traffic patterns etc. during training and evaluation on Longest6. For testing generalization to completely unseen routes, we would recommend the benchmark proposed in LAV, which holds out Town02 and Town05 during training.
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Related Issues (20)
- normalize the gps HOT 3
- sensor.opendrive_map
- sensor.opendrive_map HOT 3
- Failed Routes in Data Generation HOT 2
- Script for rerunning failed routes HOT 3
- ConvNext Backbone - AttributeError: 'ImageCNN' object has no attribute 'config' HOT 2
- Can't reproduce the same RC on longest6 Benchmark HOT 6
- leaderboard HOT 1
- About the dataset HOT 4
- Cannot load weights in train to finetune HOT 6
- Relationship between image resolution and backbone. HOT 2
- Finetune without `optimizer.pth` HOT 4
- Visualize 2D prediction and BEV prediction during evaluation HOT 2
- The problem of reconstructing the dataset HOT 3
- Segmentation failed HOT 10
- what is the range of the BEV map? HOT 2
- ego-vehivcle HOT 2
- Need some help about understanding the code HOT 4
- Need some help about understanding the code HOT 1
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