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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/duckietown-challenges@sha256:d44ae5ce0aaaa2458e02cb1833e1ef8638356afa2de883916e2f8d975eef3a42 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/duckietown-challenges@sha256:7c4b3eca9f73f57890d6823dada54d0bc6d9588089d2191d82705cf2eb8cf631 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/duckietown-challenges@sha256:9712b6a6f5acbd593603af9ae23b461073907fc2eaca71441542fa9fd12620ea 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/duckietown-challenges@sha256:fb6881d1a62f8d99eb94c0195ef51436e56f3853bb7244cc097adce352d4272f 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/duckietown-challenges@sha256:fb6881d1a62f8d99eb94c0195ef51436e56f3853bb7244cc097adce352d4272f 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/duckietown-challenges@sha256:fb6881d1a62f8d99eb94c0195ef51436e56f3853bb7244cc097adce352d4272f 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/duckietown-challenges@sha256:23255ec65e3f8de4a648ac5b29bc25c22c03c9bd13d978c987d70fe27b62b696 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/duckietown-challenges@sha256:23255ec65e3f8de4a648ac5b29bc25c22c03c9bd13d978c987d70fe27b62b696 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/duckietown-challenges@sha256:23255ec65e3f8de4a648ac5b29bc25c22c03c9bd13d978c987d70fe27b62b696 environment: STEP_NAME: eval2
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| Cloud simulations | 1 |