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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 LFV 🚗🚗 - Lane following + Vehicles (simulation 👾, validation 🏋)
The submission must first pass LFV testing.
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 LFVIv-sim
.
If step LFVIv-sim
has result success, then declare the submission SUCCESS
.
If step LFVIv-sim
has result failed, then declare the submission FAILED
.
If step LFVIv-sim
has result error, then declare the submission ERROR
.
LFVIv-sim
Timeout 10000.0
This is the Docker Compose configuration skeleton:
version: '3' services: npc0: image: docker.io/duckietown/challenge-aido_lf-minimal-agent-full@sha256:2914fa743f9d20457cff19df787b230fc8489a3bdd17d9f3b7bbcd3cb4541f15 environment: AIDONODE_NAME: npc0 AIDONODE_DATA_IN: /fifos/npc0-in AIDONODE_DATA_OUT: fifo:/fifos/npc0-out npc1: image: docker.io/duckietown/challenge-aido_lf-minimal-agent-full@sha256:2914fa743f9d20457cff19df787b230fc8489a3bdd17d9f3b7bbcd3cb4541f15 environment: AIDONODE_NAME: npc1 AIDONODE_DATA_IN: /fifos/npc1-in AIDONODE_DATA_OUT: fifo:/fifos/npc1-out npc2: image: docker.io/duckietown/challenge-aido_lf-minimal-agent-full@sha256:2914fa743f9d20457cff19df787b230fc8489a3bdd17d9f3b7bbcd3cb4541f15 environment: AIDONODE_NAME: npc2 AIDONODE_DATA_IN: /fifos/npc2-in AIDONODE_DATA_OUT: fifo:/fifos/npc2-out npc3: image: docker.io/duckietown/challenge-aido_lf-minimal-agent-full@sha256:2914fa743f9d20457cff19df787b230fc8489a3bdd17d9f3b7bbcd3cb4541f15 environment: AIDONODE_NAME: npc3 AIDONODE_DATA_IN: /fifos/npc3-in AIDONODE_DATA_OUT: fifo:/fifos/npc3-out evaluator: image: docker.io/andreacensi/aido5-lfi-sim-validation-lfviv-sim-evaluator:2020_12_02_19_24_22@sha256:8089b2f843cd0a02b70b085c33ca0766989b1321b3c3a8e64fbd698ec01dbd79 environment: experiment_manager_parameters: 'episodes_per_scenario: 1 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 # 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.
Cloud simulations | 1 |