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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_medianThis 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_medianThis 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.
simTimeout 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 |