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LFV_multi |
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Control multiple Duckiebots | |
In this variation of the lane following challenge, your agent is embodied in multiple robots. Avoid the crashes with different versions of yourself. 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.
These are the metrics defined:
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_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.
deviation-center-line_median
This is the median lateral deviation from the center line.
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.
Depends on successful evaluation on LF 🚗 - Lane following (simulation 👾, validation 🏋)
The submission must first pass the LF validation.
The sum of the following tests should be at least 2.0.
Test on absolute scores:
good_enough
(1.0 points) driven_lanedir_consec_median
.Test on relative performance:
better-than-bea-straight
(1.0 points) straight
.At the beginning execute step LFVmultibodyv-sim
.
If step LFVmultibodyv-sim
has result success, then declare the submission SUCCESS
.
If step LFVmultibodyv-sim
has result failed, then declare the submission FAILED
.
If step LFVmultibodyv-sim
has result error, then declare the submission ERROR
.
LFVmultibodyv-sim
Timeout 10000.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: docker.io/andreacensi/aido5-lfv_multi-sim-validation-lfvmultibodyv-sim-evaluator:2020_12_02_19_26_08@sha256:7a1e853b24e91198fd10bf78eafe53349762d4a384493f6f7fe2d396764c1030 environment: experiment_manager_parameters: 'episodes_per_scenario: 3 episode_length_s: 60.0 min_episode_length_s: 0.0 seed: 20200922 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/duckietown/challenge-aido_lf-simulator-gym@sha256:c0096866077db3574e425d40603d8f5fc8ebbd164da7c0578df94ff4ede58d95 environment: AIDONODE_CONFIG: "env_constructor: Simulator\nenv_parameters:\n max_steps:\ \ 500001\n domain_rand: 0\n camera_width: 640\n camera_height:\ \ 480\n distortion: true\n num_tris_distractors: 0\n color_ground:\n\ \ - 0\n - 0.3\n - 0\n enable_leds: true\ntopdown_resolution: 600\n\ debug_no_video: false\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 solution-ego1: image: SUBMISSION_CONTAINER environment: AIDONODE_NAME: ego1 AIDONODE_DATA_IN: /fifos/ego1-in AIDO_REQUIRE_GPU: '1' AIDONODE_DATA_OUT: fifo:/fifos/ego1-out solution-ego2: image: SUBMISSION_CONTAINER environment: AIDONODE_NAME: ego2 AIDONODE_DATA_IN: /fifos/ego2-in AIDO_REQUIRE_GPU: '1' AIDONODE_DATA_OUT: fifo:/fifos/ego2-out solution-ego3: image: SUBMISSION_CONTAINER environment: AIDONODE_NAME: ego3 AIDONODE_DATA_IN: /fifos/ego3-in AIDO_REQUIRE_GPU: '1' AIDONODE_DATA_OUT: fifo:/fifos/ego3-out
The text SUBMISSION_CONTAINER
will be replaced with the user containter.
Cloud simulations | 1 |