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README.md

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 # Scene-graph Augmented Data-driven Risk Assessment of Autonomous Vehicle Decisions
 This repository includes the code and dataset information required for reproducing the results in [our paper](https://arxiv.org/abs/2009.06435). Besides, we also integrated the source code of [our baseline method](https://arxiv.org/abs/1906.02859), [DeepTL-Lane-Change-Classification](https://github.com/Ekim-Yurtsever/DeepTL-Lane-Change-Classification), into this repo. The baseline approach infers the risk level of lane change video clips with deep CNN+LSTM. 
 
-As for fabricating the lane-changing datasets, we use Carla [CARLA](https://github.com/carla-simulator/carla) 0.9.8 which is an open-source autonomous car driving simulator. Besides, we also utilized the [scenario_runner](https://github.com/carla-simulator/scenario_runner) which was designed for CARLA challenge event. For real-driving datasets, we used Honda-Driving Dataset (HDD) in our experiments. We published the converted scene-graph datasets used in our paper [here](http://ieee-dataport.org/3618). **brandon fix this.
+As for fabricating the lane-changing datasets, we use Carla [CARLA](https://github.com/carla-simulator/carla) 0.9.8 which is an open-source autonomous car driving simulator. Besides, we also utilized the [scenario_runner](https://github.com/carla-simulator/scenario_runner) which was designed for CARLA challenge event. For real-driving datasets, we used Honda-Driving Dataset (HDD) in our experiments. We published the converted scene-graph datasets used in our paper [here](http://ieee-dataport.org/3618).
 
 The architecture of this repository is as below:
 - **sg-risk-assessment/**: this folder collects all the core model/trainer/utilties used for our scene-graph based approach.