Challenge "aido3-LF-real-validation"

These are the metrics defined:

Traveled distance - 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 - 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.

Lateral deviation - deviation-center-line

This is the median lateral deviation from the center line.

Major infractions - 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.

Evaluation steps details

• 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.

Evaluation step eval0

Timeout 18000.0

This is the Docker Compose configuration skeleton:

version: '3'
services:
    evaluator:
        image: docker.io/andreacensi/aido3-lf-real-validation-eval0-evaluator:2020_10_19_20_42_41@sha256:1f09bd03108a0093537ddb512198ee60867fa786a02fbbe4e506250c06801e15
        environment: {}
        ports:
        - 8005:8005

The text SUBMISSION_CONTAINER will be replaced with the user containter.

Resources required for evaluating this step

Evaluation step eval1

Timeout 18000.0

This is the Docker Compose configuration skeleton:

version: '3'
services:
    evaluator:
        image: docker.io/andreacensi/aido3-lf-real-validation-eval1-evaluator:2020_10_19_20_43_01@sha256:1f09bd03108a0093537ddb512198ee60867fa786a02fbbe4e506250c06801e15
        environment: {}
        ports:
        - 8005:8005

The text SUBMISSION_CONTAINER will be replaced with the user containter.

Resources required for evaluating this step

Evaluation step eval2

Timeout 18000.0

This is the Docker Compose configuration skeleton:

version: '3'
services:
    evaluator:
        image: docker.io/andreacensi/aido3-lf-real-validation-eval2-evaluator:2020_10_19_20_43_03@sha256:1f09bd03108a0093537ddb512198ee60867fa786a02fbbe4e506250c06801e15
        environment: {}
        ports:
        - 8005:8005

The text SUBMISSION_CONTAINER will be replaced with the user containter.

Resources required for evaluating this step

Evaluation step eval0-visualize

Timeout 1080.0

This is the Docker Compose configuration skeleton:

version: '3'
services:
    evaluator:
        image: docker.io/andreacensi/aido3-lf-real-validation-eval0-visualize-evaluator:2020_10_19_20_43_04@sha256:cf6aa8b37c0c08cb9f5919f9672391421c35abab7ff4b94801e22b4a06287f18
        environment:
            STEP_NAME: eval0

The text SUBMISSION_CONTAINER will be replaced with the user containter.

Resources required for evaluating this step

Evaluation step eval1-visualize

Timeout 1080.0

This is the Docker Compose configuration skeleton:

version: '3'
services:
    evaluator:
        image: docker.io/andreacensi/aido3-lf-real-validation-eval1-visualize-evaluator:2020_10_19_20_43_18@sha256:cf6aa8b37c0c08cb9f5919f9672391421c35abab7ff4b94801e22b4a06287f18
        environment:
            STEP_NAME: eval1

The text SUBMISSION_CONTAINER will be replaced with the user containter.

Resources required for evaluating this step

Evaluation step eval2-visualize

Timeout 1080.0

This is the Docker Compose configuration skeleton:

version: '3'
services:
    evaluator:
        image: docker.io/andreacensi/aido3-lf-real-validation-eval2-visualize-evaluator:2020_10_19_20_43_19@sha256:cf6aa8b37c0c08cb9f5919f9672391421c35abab7ff4b94801e22b4a06287f18
        environment:
            STEP_NAME: eval2

The text SUBMISSION_CONTAINER will be replaced with the user containter.

Resources required for evaluating this step

Evaluation step eval0-videos

Timeout 10800.0

This is the Docker Compose configuration skeleton:

version: '3'
services:
    evaluator:
        image: docker.io/andreacensi/aido3-lf-real-validation-eval0-videos-evaluator:2020_10_19_20_43_19@sha256:ede116f39aa7600b73a84916f2249fc2238d222840a876942b79ba81062469b2
        environment:
            WORKER_I: '0'
            WORKER_N: '1'
            INPUT_DIR: /challenges/previous-steps/eval0/logs_raw
            OUTPUT_DIR: /challenges/challenge-evaluation-output
            DEBUG_OVERLAY: '1'
            BAG_NAME_FILTER: autobot,watchtower
            OUTPUT_FRAMERATE: '7'

The text SUBMISSION_CONTAINER will be replaced with the user containter.

Resources required for evaluating this step

Evaluation step eval1-videos

Timeout 10800.0

This is the Docker Compose configuration skeleton:

version: '3'
services:
    evaluator:
        image: docker.io/andreacensi/aido3-lf-real-validation-eval1-videos-evaluator:2020_10_19_20_44_54@sha256:ede116f39aa7600b73a84916f2249fc2238d222840a876942b79ba81062469b2
        environment:
            WORKER_I: '0'
            WORKER_N: '1'
            INPUT_DIR: /challenges/previous-steps/eval1/logs_raw
            OUTPUT_DIR: /challenges/challenge-evaluation-output
            DEBUG_OVERLAY: '1'
            BAG_NAME_FILTER: autobot,watchtower
            OUTPUT_FRAMERATE: '7'

The text SUBMISSION_CONTAINER will be replaced with the user containter.

Resources required for evaluating this step

Evaluation step eval2-videos

Timeout 10800.0

This is the Docker Compose configuration skeleton:

version: '3'
services:
    evaluator:
        image: docker.io/andreacensi/aido3-lf-real-validation-eval2-videos-evaluator:2020_10_19_20_44_54@sha256:ede116f39aa7600b73a84916f2249fc2238d222840a876942b79ba81062469b2
        environment:
            WORKER_I: '0'
            WORKER_N: '1'
            INPUT_DIR: /challenges/previous-steps/eval2/logs_raw
            OUTPUT_DIR: /challenges/challenge-evaluation-output
            DEBUG_OVERLAY: '1'
            BAG_NAME_FILTER: autobot,watchtower
            OUTPUT_FRAMERATE: '7'

The text SUBMISSION_CONTAINER will be replaced with the user containter.

Resources required for evaluating this step