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This is the challenge is part of the the MOOC’s object detection exercise.
For more information about the “Self-Driving Cars with Duckietown” MOOC, visit duckietown.org.
These are the metrics defined:
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.
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.
No dependencies
At the beginning execute step sim
.
If step sim
has result success, then declare the submission SUCCESS
.
If step sim
has result failed, then declare the submission FAILED
.
If step sim
has result error, then declare the submission ERROR
.
sim
Timeout 10000.0
This is the Docker Compose configuration skeleton:
version: '3' services: evaluator: image: andreacensi/duckietown-challenges:lx22-objdet-sim-evaluator@sha256:8bdc63a6ba60c7cb7bc2c7c38af1eb898034119c222a4c6958f0023fa99c1c03 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:daffy@sha256:73b2e77813651f1db621c247e49f1f932947769b7ff3558ffec01e5eee27c2e0 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, 0] # black\n #color_sky:\ \ [0, 0, 0.1] # dark blue\n enable_leds: true\n\nterminate_on_ool:\ \ false\nterminate_on_out_of_tile: true\nterminate_on_collision: true\n\ topdown_resolution: 900\nmax_pixel_mov: 1000\ndebug_profile: False\n\ debug_profile_summary: 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 AIDONODE_DATA_OUT: fifo:/fifos/ego0-out
The text SUBMISSION_CONTAINER
will be replaced with the user containter.
Cloud simulations | 1 |