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(No description.)
These are the metrics defined:
driven_lanedir_consec
This 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
This 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-line
This is the median lateral deviation from the center line.
in-drivable-lane
This 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
.
eval0
Timeout 18000.0
Evaluation in the robotarium.
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/andreacensi/aido5-lfv_multi-real-validation-eval0-evaluator:2020_12_12_18_23_48@sha256:6ccc04e1d810494bcf469cf3b6bb09795bc9fe88f65b1c4f71e06b73d1664bf6 environment: {}
The text SUBMISSION_CONTAINER
will be replaced with the user containter.
# Duckiebots | 3 |
AIDO 5 Map large loop | 1 |
eval1
Timeout 18000.0
Evaluation in the robotarium.
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/andreacensi/aido5-lfv_multi-real-validation-eval1-evaluator:2020_12_12_18_24_04@sha256:57b67e9a13e9695d3c22667fd1944ce9c4dbfca5b63bdb04c96f56c17c223a72 environment: {}
The text SUBMISSION_CONTAINER
will be replaced with the user containter.
# Duckiebots | 3 |
AIDO 5 Map large loop | 1 |
eval2
Timeout 18000.0
Evaluation in the robotarium.
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/andreacensi/aido5-lfv_multi-real-validation-eval2-evaluator:2020_12_12_18_24_18@sha256:39ade22960d544aa290caf3f1e305d4f7466239cdf69748288d13e87a59c7b46 environment: {}
The text SUBMISSION_CONTAINER
will be replaced with the user containter.
# Duckiebots | 3 |
AIDO 5 Map large loop | 1 |
eval0-videos
Timeout 10800.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/andreacensi/aido5-lfv_multi-real-validation-eval0-videos-evaluator:2020_12_12_18_27_08@sha256:dd96cbeea5a14800e13efdd99fa7c7a4141fecc458bff17f2e7b5fe27b91c679 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-videos
Timeout 10800.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/andreacensi/aido5-lfv_multi-real-validation-eval1-videos-evaluator:2020_12_12_18_27_27@sha256:dd96cbeea5a14800e13efdd99fa7c7a4141fecc458bff17f2e7b5fe27b91c679 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-videos
Timeout 10800.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/andreacensi/aido5-lfv_multi-real-validation-eval2-videos-evaluator:2020_12_12_18_27_43@sha256:dd96cbeea5a14800e13efdd99fa7c7a4141fecc458bff17f2e7b5fe27b91c679 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-visualize
Timeout 1080.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/andreacensi/aido5-lfv_multi-real-validation-eval0-visualize-evaluator:2020_12_12_18_24_33@sha256:2a8cf3123aae7afca08802ab30696892b99560d4a2842be7de37ca74b529528f environment: STEP_NAME: eval0
The text SUBMISSION_CONTAINER
will be replaced with the user containter.
Cloud simulations | 1 |
eval1-visualize
Timeout 1080.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/andreacensi/aido5-lfv_multi-real-validation-eval1-visualize-evaluator:2020_12_12_18_26_40@sha256:2a8cf3123aae7afca08802ab30696892b99560d4a2842be7de37ca74b529528f environment: STEP_NAME: eval1
The text SUBMISSION_CONTAINER
will be replaced with the user containter.
Cloud simulations | 1 |
eval2-visualize
Timeout 1080.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/andreacensi/aido5-lfv_multi-real-validation-eval2-visualize-evaluator:2020_12_12_18_26_54@sha256:2a8cf3123aae7afca08802ab30696892b99560d4a2842be7de37ca74b529528f environment: STEP_NAME: eval2
The text SUBMISSION_CONTAINER
will be replaced with the user containter.
Cloud simulations | 1 |