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- After the EGO stopped in desired position, please localize the dummy obstacle by using the traffic controller. You can
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control the traffic by pressing `ESC` button.
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**After localize EGO and dummy vehicle, we should write the positions of these entities in the map frame in `reaction_analyzer.param.yaml`. To achieve this:**
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**After localize EGO and dummy vehicle, we should write the positions of these entities in the map frame
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in `reaction_analyzer.param.yaml`. To achieve this:**
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- Get initialization pose from `/awsim/ground_truth/vehicle/pose` topic.
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- Get entity params from `/perception/object_recognition/objects` topic.
@@ -146,10 +152,12 @@ to run Autoware while recording.**
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## Results
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The results will be stored in the `csv` file format and written to the `output_file_path` you defined. It shows each
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pipeline of the Autoware by using header timestamp of the messages, and it reports `Node Latency`, `Pipeline Latency`, and `Total Latency`
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pipeline of the Autoware by using header timestamp of the messages, and it reports `Node Latency`, `Pipeline Latency`,
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and `Total Latency`
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for each of the nodes.
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-`Node Latency`: The time difference between previous and current node's reaction timestamps.
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-`Node Latency`: The time difference between previous and current node's reaction timestamps. If it is the first node
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in the pipeline, it is same as `Pipeline Latency`.
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-`Pipeline Latency`: The time difference between published time of the message and pipeline header time.
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-`Total Latency`: The time difference between the message's published timestamp and the spawn obstacle command sent
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