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These are the metrics defined:
driven_lanedir_consec_medianThis 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_time_medianThis is the median survival time. The simulation is terminated when the car goes outside of the road or it crashes with an obstacle.
No dependencies
At the beginning execute step eval0.
If step eval0 has result success, then execute step eval0-videos-autobots.
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-videos-autobots has result success, then execute step eval0-videos-watchtowers.
If step eval0-videos-autobots has result failed, then declare the submission FAILED.
If step eval0-videos-autobots has result error, then declare the submission ERROR.
If step eval0-videos-watchtowers has result success, then execute step eval1.
If step eval0-videos-watchtowers has result failed, then declare the submission FAILED.
If step eval0-videos-watchtowers has result error, then declare the submission ERROR.
If step eval1 has result success, then execute step eval1-videos-autobots.
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-videos-autobots has result success, then execute step eval1-videos-watchtowers.
If step eval1-videos-autobots has result failed, then declare the submission FAILED.
If step eval1-videos-autobots has result error, then declare the submission ERROR.
If step eval1-videos-watchtowers has result success, then declare the submission SUCCESS.
If step eval1-videos-watchtowers has result failed, then declare the submission FAILED.
If step eval1-videos-watchtowers has result error, then declare the submission ERROR.
hw-evaluationTimeout 18000.0
Evaluation in the robotarium.
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/amaurx/aido2-lfvi-real-validation-hw-evaluation-evaluator:2019_05_13_17_49_23@sha256:1168d196612a40db2eedce3f412838293600898ed3f6a96dccc2679c82acee56 environment: {} ports: - 8005:8005
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| # Duckiebots | 2 |
| AIDO 2 Map LFVI public | 1 |
eval0Timeout 18000.0
Evaluation in the robotarium.
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/gian1717/aido2-lfvi-real-validation-eval0-evaluator:2019_06_11_19_05_44@sha256:04dad2af97033eef32f70bfea1f9fad34663a5ad17f7e998c7984bb68012de88 environment: {} ports: - 8005:8005
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| # Duckiebots | 2 |
| AIDO 2 Map LFVI public | 1 |
eval0-videos-0Timeout 1800.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/amaurx/aido2-lfvi-real-validation-eval0-videos-0-evaluator:2019_05_16_14_00_25@sha256:45494b8ddc5c6d02c900845a72601852f9b63253b18d19108d7f5ee51ebbeaa5 environment: WORKER_I: '0' WORKER_N: '2' INPUT_DIR: /challenges/previous-steps/eval0/challenge-evaluation-output/raw_logs/bags OUTPUT_DIR: /challenges/challenge-evaluation-output OUTPUT_FRAMERATE: '12'
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| IPFS mountpoint /ipfs available | 1 |
eval0-videos-1Timeout 1800.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/amaurx/aido2-lfvi-real-validation-eval0-videos-1-evaluator:2019_05_16_14_00_44@sha256:45494b8ddc5c6d02c900845a72601852f9b63253b18d19108d7f5ee51ebbeaa5 environment: WORKER_I: '1' WORKER_N: '2' INPUT_DIR: /challenges/previous-steps/eval0/challenge-evaluation-output/raw_logs/bags OUTPUT_DIR: /challenges/challenge-evaluation-output OUTPUT_FRAMERATE: '12'
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| IPFS mountpoint /ipfs available | 1 |
eval0-extractATsTimeout 3600.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/aleksandarpetrov/aido2-lfvi-real-validation-eval0-extractats-evaluator:2019_05_17_14_50_17@sha256:a12b33e0fb36d6abb88b542b1d0a751467ff24824ac209b75d09db985d931d64 environment: BAGS_PATH: /challenges/previous-steps/eval0/challenge-evaluation-output/raw_logs/bags ACQ_OUTPUT_BAG: /challenges/challenge-evaluation-output/processed.bag ACQ_TEST_STREAM: '0' ACQ_DEVICE_THREADS: '6' ACQ_OBSERVATIONS_STATISTICS_OUTPUT: /challenges/challenge-evaluation-output/statistics.yaml
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| IPFS mountpoint /ipfs available | 1 |
eval0-WesQuackersonTimeout 3600.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/aleksandarpetrov/aido2-lfvi-real-validation-eval0-wesquackerson-evaluator:2019_05_17_14_50_48@sha256:285263e1b8a043e4ef9f7dc25b3d5796c6a0bb09a4d629bd8bba5ec1b07159e5 environment: ATMSGS_BAG: /challenges/previous-steps/eval0-extractATs/challenge-evaluation-output/processed.bag TITLE_CARD: '1' VIDEO_BAGS: /challenges/previous-steps/eval0/challenge-evaluation-output/raw_logs/bags OUTPUT_FILE: /challenges/challenge-evaluation-output/overheadVideo.mp4 POSES_TOPIC: /poses_acquisition/poses VIDEO_TOPIC: /camera_node/image/compressed MIN_SHOT_LENGTH: '12' OUTPUT_FRAMERATE: '12' PREVIOUS_RESULTS: /challenges/previous-steps/eval0/challenge-evaluation-output/challenge-results/challenge_results.yaml CAMERA_RESOLUTION_WIDTH: '972' CAMERA_RESOLUTION_HEIGHT: '1296'
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| IPFS mountpoint /ipfs available | 1 |
eval0-videosTimeout 3600.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/andreacensi/aido2-lfvi-real-validation-eval0-videos-evaluator:2019_05_17_11_05_53@sha256:ff28da3480a099039a1abcbd1e04ec22c5b2dc336160e47842400edcc968fae0 environment: WORKER_I: '0' WORKER_N: '1' INPUT_DIR: /challenges/previous-steps/eval0/challenge-evaluation-output/raw_logs/bags OUTPUT_DIR: /challenges/challenge-evaluation-output OUTPUT_FRAMERATE: '12'
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| IPFS mountpoint /ipfs available | 1 |
eval0-videos-autobotsTimeout 10800.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/gian1717/aido2-lfvi-real-validation-eval0-videos-autobots-evaluator:2019_06_11_19_06_08@sha256:5876da21ebc74f8c77acec009b39b23c52b9f374eef76e182936e1ad8d05ae86 environment: WORKER_I: '0' WORKER_N: '1' INPUT_DIR: /challenges/previous-steps/eval0/challenge-evaluation-output/raw_logs/bags OUTPUT_DIR: /challenges/challenge-evaluation-output DEBUG_OVERLAY: '1' BAG_NAME_FILTER: autobot OUTPUT_FRAMERATE: '12'
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| IPFS mountpoint /ipfs available | 1 |
eval0-videos-watchtowersTimeout 10800.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/gian1717/aido2-lfvi-real-validation-eval0-videos-watchtowers-evaluator:2019_06_11_19_06_23@sha256:5876da21ebc74f8c77acec009b39b23c52b9f374eef76e182936e1ad8d05ae86 environment: WORKER_I: '0' WORKER_N: '1' INPUT_DIR: /challenges/previous-steps/eval0/challenge-evaluation-output/raw_logs/bags OUTPUT_DIR: /challenges/challenge-evaluation-output DEBUG_OVERLAY: '0' BAG_NAME_FILTER: watchtower OUTPUT_FRAMERATE: '12'
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| IPFS mountpoint /ipfs available | 1 |
eval1Timeout 18000.0
Evaluation in the robotarium.
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/gian1717/aido2-lfvi-real-validation-eval1-evaluator:2019_06_11_19_05_56@sha256:04dad2af97033eef32f70bfea1f9fad34663a5ad17f7e998c7984bb68012de88 environment: {} ports: - 8005:8005
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| # Duckiebots | 2 |
| AIDO 2 Map LFVI public | 1 |
eval1-videos-autobotsTimeout 10800.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/gian1717/aido2-lfvi-real-validation-eval1-videos-autobots-evaluator:2019_06_11_19_06_37@sha256:5876da21ebc74f8c77acec009b39b23c52b9f374eef76e182936e1ad8d05ae86 environment: WORKER_I: '0' WORKER_N: '1' INPUT_DIR: /challenges/previous-steps/eval0/challenge-evaluation-output/raw_logs/bags OUTPUT_DIR: /challenges/challenge-evaluation-output DEBUG_OVERLAY: '1' BAG_NAME_FILTER: autobot OUTPUT_FRAMERATE: '12'
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| IPFS mountpoint /ipfs available | 1 |
eval1-videos-watchtowersTimeout 10800.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/gian1717/aido2-lfvi-real-validation-eval1-videos-watchtowers-evaluator:2019_06_11_19_06_51@sha256:5876da21ebc74f8c77acec009b39b23c52b9f374eef76e182936e1ad8d05ae86 environment: WORKER_I: '0' WORKER_N: '1' INPUT_DIR: /challenges/previous-steps/eval0/challenge-evaluation-output/raw_logs/bags OUTPUT_DIR: /challenges/challenge-evaluation-output DEBUG_OVERLAY: '0' BAG_NAME_FILTER: watchtower OUTPUT_FRAMERATE: '12'
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| IPFS mountpoint /ipfs available | 1 |