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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/afdaniele/duckietown-challenges@sha256:d1cd3bd154c6b04ea922bdaada5eb930726c2ab368d78a99dad8415efd7060fe environment: {}
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| # Duckiebots | 1 |
| ETU track | 1 |
eval1Timeout 18000.0
Evaluation in the robotarium.
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/afdaniele/duckietown-challenges@sha256:36ec8d9356e6c32744caec197836beb5bd0438a40697496f6d3b5a8680125676 environment: {}
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| # Duckiebots | 1 |
| ETU track | 1 |
eval2Timeout 18000.0
Evaluation in the robotarium.
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/afdaniele/duckietown-challenges@sha256:58593fca087149b385d46d5a71f0d399f058882701e0a68d73cb28aeb425e2a4 environment: {}
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| # Duckiebots | 1 |
| ETU track | 1 |
eval0-videosTimeout 10800.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/afdaniele/duckietown-challenges@sha256:bfb995ec0553bac90fe367fd77f3102b8eed9397acc12bc7ae4396171bb12208 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/afdaniele/duckietown-challenges@sha256:bfb995ec0553bac90fe367fd77f3102b8eed9397acc12bc7ae4396171bb12208 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/afdaniele/duckietown-challenges@sha256:bfb995ec0553bac90fe367fd77f3102b8eed9397acc12bc7ae4396171bb12208 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/afdaniele/duckietown-challenges@sha256:6436a5ebd306133cd7b0f4a3c868bfb58e55b88d698a0f21551bdc6735559419 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/afdaniele/duckietown-challenges@sha256:6436a5ebd306133cd7b0f4a3c868bfb58e55b88d698a0f21551bdc6735559419 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/afdaniele/duckietown-challenges@sha256:6436a5ebd306133cd7b0f4a3c868bfb58e55b88d698a0f21551bdc6735559419 environment: STEP_NAME: eval2
The text SUBMISSION_CONTAINER will be replaced with the user containter.
| Cloud simulations | 1 |