Update README.md

Author: ilnehc

README.md

@@ -52,6 +52,8 @@ https://github.com/OpenDriveLab/UniAD/assets/48089846/bcf685e4-2471-450e-8b77-e0
 
 - **`Planning Metric`**: Discussion [Ref: https://github.com/OpenDriveLab/UniAD/issues/29]: [Clarification](https://github.com/OpenDriveLab/UniAD/issues/29#issuecomment-1583070151) and [Notice](https://github.com/OpenDriveLab/UniAD/issues/29#issuecomment-1717594344) regarding open-loop planning results comparison.
 
+- **`2024/08/27`** New feature: Implementation for CARLA and closed-loop evaluation on CARLA Leaderboard 2.0 scenarios are available in [Bench2Drive](https://github.com/Thinklab-SJTU/Bench2Drive).
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 - **`2023/08/03`** Bugfix [[Commit](https://github.com/OpenDriveLab/UniAD/commit/2e1380143d7af7c93bd67725a11d6960fa4347c6)]: Previously, the visualized planning results were in opposition on the x axis, compared to the ground truth. Now it's fixed.
 
 - **`2023/06/12`** Bugfix [Ref: https://github.com/OpenDriveLab/UniAD/issues/21]: Previously, the performance of the stage1 model (track_map) could not be replicated when trained from scratch, due to mistakenly adding `loss_past_traj` and freezing `img_neck` and `BN`. By removing `loss_past_traj` and unfreezing `img_neck` and `BN` in training, the reported results could be reproduced (AMOTA: 0.393, [stage1_train_log](https://github.com/OpenDriveLab/UniAD/releases/download/v1.0/uniad_reproduce_stage1_gpu16_train.log)).
@@ -104,17 +106,6 @@ Pre-trained models and results under main metrics are provided below. We refer y
 ### Model Structure
 The overall pipeline of UniAD is controlled by [uniad_e2e.py](projects/mmdet3d_plugin/uniad/detectors/uniad_e2e.py) which coordinates all the task modules in `UniAD/projects/mmdet3d_plugin/uniad/dense_heads`. If you are interested in the implementation of a specific task module, please refer to its corresponding file, e.g., [motion_head](projects/mmdet3d_plugin/uniad/dense_heads/motion_head.py).
 
-## TODO List <a name="todos"></a>
-- [ ] All configs & checkpoints
-- [ ] Upgrade the implementation of MapFormer from Panoptic SegFormer to [TopoNet](https://github.com/OpenDriveLab/TopoNet), which features the vectorized map representations and topology reasoning.
-- [ ] Support larger batch size
-- [ ] [Long-term] Improve flexibility for future extensions
-- [x] Fix bug: Unable to reproduce the results of stage1 track-map model when training from scratch. [Ref: https://github.com/OpenDriveLab/UniAD/issues/21]
-- [x] Visualization codes 
-- [x] Separating BEV encoder and tracking module
-- [x] Base-model configs & checkpoints
-- [x] Code initialization
-
 
 ## License <a name="license"></a>
 
@@ -170,4 +161,4 @@ We are thrilled to launch our recent line of works: [GenAD](https://arxiv.org/ab
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