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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:e8a979514b73fb3bae61470f38a39b719833213004a39ca5b7a6986e38524b36 environment: {}
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| # Duckiebots | 3 |
| for 2021, map is ETH_small_inter | 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@sha256:1cdcb775e953775cbad5e27bc02768e849316e60a3814cba23567c4b2c6f9917 environment: {}
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| # Duckiebots | 3 |
| for 2021, map is ETH_small_inter | 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@sha256:59caf7a71e8305bb8572197f3cbbdb9f2a194429e5cc5639ebed675a4d894eca environment: {}
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| # Duckiebots | 3 |
| for 2021, map is ETH_small_inter | 1 |
eval0-videosTimeout 10800.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/andreacensi/duckietown-challenges@sha256:c524c3a14f908231283c96c556241036ad2d6219f42cdd65e980a1c802b5e1b7 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:c524c3a14f908231283c96c556241036ad2d6219f42cdd65e980a1c802b5e1b7 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:c524c3a14f908231283c96c556241036ad2d6219f42cdd65e980a1c802b5e1b7 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@sha256:614ebc8d03722c17c519d6ab535e1ded7e153cf0d2736a67ddb7d35f78b278c2 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@sha256:614ebc8d03722c17c519d6ab535e1ded7e153cf0d2736a67ddb7d35f78b278c2 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@sha256:614ebc8d03722c17c519d6ab535e1ded7e153cf0d2736a67ddb7d35f78b278c2 environment: STEP_NAME: eval2
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| Cloud simulations | 1 |