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(No description.)
These are the metrics defined:
driven_lanedir_consecThis is the median distance traveled, along a lane. (That is, going in circles will not make this metric increase.)
This is discretized to tiles.
survival_timeThis is the median survival time. The simulation is terminated when the car goes outside of the road or it crashes with an obstacle.
deviation-center-lineThis is the median lateral deviation from the center line.
in-drivable-laneThis is the median of the time spent outside of the drivable zones. For example this penalizes driving in the wrong lane.
No dependencies
At the beginning execute step eval0.
If step eval0 has result success, then execute step eval0-visualize.
If step eval0 has result failed, then declare the submission FAILED.
If step eval0 has result error, then declare the submission ERROR.
If step eval0 has result success, then execute step eval0-videos.
If step eval1 has result success, then execute step eval1-videos.
If step eval2 has result success, then execute step eval2-videos.
If step eval0 has result success, then execute step eval1.
If step eval0-visualize has result failed, then declare the submission FAILED.
If step eval0-visualize has result error, then declare the submission ERROR.
If step eval1 has result success, then execute step eval1-visualize.
If step eval1 has result failed, then declare the submission FAILED.
If step eval1 has result error, then declare the submission ERROR.
If step eval1 has result success, then execute step eval2.
If step eval1-visualize has result failed, then declare the submission FAILED.
If step eval1-visualize has result error, then declare the submission ERROR.
If step eval2 has result success, then execute step eval2-visualize.
If step eval2 has result failed, then declare the submission FAILED.
If step eval2 has result error, then declare the submission ERROR.
If step eval2-visualize has result success, then declare the submission SUCCESS.
If step eval2-visualize has result failed, then declare the submission FAILED.
If step eval2-visualize has result error, then declare the submission ERROR.
eval0Timeout 18000.0
Evaluation in the robotarium.
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/andreacensi/aido5-lfp-real-validation-eval0-evaluator:2020_12_12_01_49_51@sha256:ae4b53ccfc10aaf6ddf05f5ea57c192163cb8411677b664dae06863a940a23d7 environment: {}
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| # Duckiebots | 1 |
| AIDO 5 Map large loop | 1 |
eval1Timeout 18000.0
Evaluation in the robotarium.
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/andreacensi/aido5-lfp-real-validation-eval1-evaluator:2020_12_12_01_50_10@sha256:6044b8ae2545f1fd1efd3ee405ff0cbca0c463f9756848b8d8bc4401742a6298 environment: {}
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| # Duckiebots | 1 |
| AIDO 5 Map large loop | 1 |
eval2Timeout 18000.0
Evaluation in the robotarium.
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/andreacensi/aido5-lfp-real-validation-eval2-evaluator:2020_12_12_01_50_23@sha256:1e48dd2dd2fb72eaadf63b40cf12e8c4bc15fbb0f8b5855077ef6ff288f61a04 environment: {}
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| # Duckiebots | 1 |
| AIDO 5 Map large loop | 1 |
eval0-videosTimeout 10800.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/andreacensi/aido5-lfp-real-validation-eval0-videos-evaluator:2020_12_12_13_39_07@sha256:246769588499123ff1e922de4d2d43e9f19abe53b22b11ff064d3efbd9c0afd7 environment: WORKER_I: '0' WORKER_N: '1' INPUT_DIR: /challenges/previous-steps/eval0 OUTPUT_DIR: /challenges/challenge-evaluation-output DEBUG_OVERLAY: '1' BAG_NAME_FILTER: robot,watchtower OUTPUT_FRAMERATE: '30'
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| Cloud simulations | 1 |
eval1-videosTimeout 10800.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/andreacensi/aido5-lfp-real-validation-eval1-videos-evaluator:2020_12_12_13_40_42@sha256:246769588499123ff1e922de4d2d43e9f19abe53b22b11ff064d3efbd9c0afd7 environment: WORKER_I: '0' WORKER_N: '1' INPUT_DIR: /challenges/previous-steps/eval1 OUTPUT_DIR: /challenges/challenge-evaluation-output DEBUG_OVERLAY: '1' BAG_NAME_FILTER: robot,watchtower OUTPUT_FRAMERATE: '30'
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| Cloud simulations | 1 |
eval2-videosTimeout 10800.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/andreacensi/aido5-lfp-real-validation-eval2-videos-evaluator:2020_12_12_13_42_05@sha256:246769588499123ff1e922de4d2d43e9f19abe53b22b11ff064d3efbd9c0afd7 environment: WORKER_I: '0' WORKER_N: '1' INPUT_DIR: /challenges/previous-steps/eval2 OUTPUT_DIR: /challenges/challenge-evaluation-output DEBUG_OVERLAY: '1' BAG_NAME_FILTER: robot,watchtower OUTPUT_FRAMERATE: '30'
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| Cloud simulations | 1 |
eval0-visualizeTimeout 1080.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/andreacensi/aido5-lfp-real-validation-eval0-visualize-evaluator:2020_12_12_13_36_28@sha256:8348acd13fd35461dedb2e7a60db321f6b174007a7d6317476da2e02be091875 environment: STEP_NAME: eval0
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| Cloud simulations | 1 |
eval1-visualizeTimeout 1080.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/andreacensi/aido5-lfp-real-validation-eval1-visualize-evaluator:2020_12_12_13_36_48@sha256:8348acd13fd35461dedb2e7a60db321f6b174007a7d6317476da2e02be091875 environment: STEP_NAME: eval1
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| Cloud simulations | 1 |
eval2-visualizeTimeout 1080.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/andreacensi/aido5-lfp-real-validation-eval2-visualize-evaluator:2020_12_12_13_38_46@sha256:920eed3ed11386a5daa9472b912a03740bac8e5897f4de2640e9ffe24cca2583 environment: STEP_NAME: eval2
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| Cloud simulations | 1 |