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Challenge "LF-experimentation-anc"

Challenge description

LF
Follow the lane

This is the basic lane following challenge.

You must follow the lane using the outputs of camera and encoders.

See the documentation for more details .

Note: this is the validation 🏋 challenge - you can see the output but these are not the scores that count.

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 or pedestrian.

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

No dependencies

Details

Technical details

Evaluation steps details

Evaluation step LFv-sim

Timeout 10000.0

This is the Docker Compose configuration skeleton:

version: '3'
services:
    evaluator:
        image: docker.io/courchesnea/duckietown-challenges@sha256:804c5b7c4d23081068d2e31eaa05298a8567119af0eaa6408d2d86575b8adea2
        environment:
            experiment_manager_parameters: 'episodes_per_scenario: 1

                episode_length_s: 60.0

                min_episode_length_s: 0.0

                seed: 888

                physics_dt: 0.05

                max_failures: 2

                fifo_dir: /fifos

                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

                port: 10123

                scenarios:

                - /scenarios

                '
        ports:
        - '10123'
    simulator:
        image: docker.io/courchesnea/duckietown-challenges@sha256:f90dbab6d4ff687b9013a3d673f19e5048e7eec336938dc074ff4f68f281ff5d
        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 \
                \ num_tris_distractors: 0\n  color_ground: [0, 0.3, 0] # green\n \
                \ enable_leds: true\n"
            AIDONODE_DATA_IN: /fifos/simulator-in
            AIDONODE_DATA_OUT: fifo:/fifos/simulator-out
    solution-ego0:
        image: SUBMISSION_CONTAINER
        environment:
            AIDONODE_NAME: ego0
            AIDONODE_DATA_IN: /fifos/ego0-in
            AIDO_REQUIRE_GPU: '1'
            AIDONODE_DATA_OUT: fifo:/fifos/ego0-out

The text SUBMISSION_CONTAINER will be replaced with the user containter.

Resources required for evaluating this step

Cloud simulations1