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Challenge "LF 🚗 - Lane following (simulation 👾, testing 🥇)"

Challenge description

Lane following challenge.

Leaderboard

Submissions

Challenge logistics

Scoring

Scoring criteria

These are the metrics defined:

Traveled distance - driven_lanedir_consec_median

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_median

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_median

This is the median lateral deviation from the center line.

Major infractions - in-drivable-lane_median

This is the median of the time spent outside of the drivable zones. For example this penalizes driving in the wrong lane.

Dependencies

Dependencies

Depends on successful evaluation on LF 🚗 - Lane following (simulation 👾, validation 🏋)

The submission must first pass the testing.

The sum of the following tests should be at least 2.0.

Test on absolute scores:

good_enough(1.0 points)
Obtain at least 0.2 for score driven_lanedir_consec_median.

Test on relative performance:

better-than-bea-straight(1.0 points)
Do at least as good as a submission ofBea Baselines labeled straight.

Details

Technical details

Evaluation steps details

  • At the beginning execute step step1-simulation.

  • If step step1-simulation finishes with status success, then declare the submission SUCCESS.

  • If step step1-simulation finishes with status failed, then declare the submission FAILED.

  • If step step1-simulation finishes with status error, then declare the submission ERROR.

Evaluation step step1-simulation

Timeout 3600.0

This is the Docker Compose configuration skeleton:

version: '3'
services:
    solution:
        image: SUBMISSION_CONTAINER
        environment:
            AIDONODE_DATA_IN: /fifos/agent-in
            AIDONODE_DATA_OUT: fifo:/fifos/agent-out
    evaluator:
        image: docker.io/andreacensi/aido3-off-lf-sim-testing-step1-simulation-evaluator:2020_02_13_12_06_41@sha256:801aae502ec8654d73e81640d0d88beabad2896229d1fd05163b62972ce419d2
        environment:
            experiment_manager_parameters: 'episodes_per_scenario: 1

                episode_length_s: 15.0

                min_episode_length_s: 0.0

                seed: 43

                physics_dt: 0.05

                max_failures: 2

                agent_in: /fifos/agent-in

                agent_out: /fifos/agent-out

                sim_in: /fifos/simulator-in

                sim_out: /fifos/simulator-out

                sm_in: /fifos/scenario_maker-in

                sm_out: /fifos/scenario_maker-out

                timeout_initialization: 120

                timeout_regular: 120

                '
    simulator:
        image: docker.io/andreacensi/aido3-off-lf-sim-testing-step1-simulation-simulator:2020_02_13_12_06_46@sha256:fe7f5359c680181a8c04610b769e23df84b2591ed7ed357dbcd19d805687f9f6
        environment:
            AIDONODE_CONFIG: "env_constructor: Simulator\nenv_parameters:\n  max_steps:\
                \ 500001 # we don't want the gym to reset itself\n  domain_rand: 0\n\
                \  camera_width: 640\n  camera_height: 480\n  distortion: true\n"
            AIDONODE_DATA_IN: /fifos/simulator-in
            AIDONODE_DATA_OUT: fifo:/fifos/simulator-out
    scenario_maker:
        image: docker.io/andreacensi/aido3-off-lf-sim-testing-step1-simulation-scenario_maker:2020_02_13_12_06_56@sha256:5ee58298e069bfcc41b4cc238ea3a935ca3df2e4a39f401d80db2dbb1543e67b
        environment:
            AIDONODE_CONFIG: 'maps:

                - ETHZ_autolab_technical_track

                scenarios_per_map: 15

                robots_npcs: 0

                '
            AIDONODE_DATA_IN: /fifos/scenario_maker-in
            AIDONODE_DATA_OUT: fifo:/fifos/scenario_maker-out

The text SUBMISSION_CONTAINER will be replaced with the user containter.

Resources required for evaluating this step

Cloud simulations1