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tofu_the_autonomous_parking_patroller

ENPH 353 Competition: An agent developed using Python to navigate through a simulated course, detect license plates of parked cars, and avoid pedestrians utilizing a state machine with image feed as inputs and velocity commands as outputs.

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Figure 1: A bird's-eye view of the competition environment & our robot, Tofu.

The tasks our robot had to accomplish for the competition were:

  1. Drive withing the white lines of the road and navigate the parking lot.
  2. Avoiding collisions with pedestrians intermittently crossing at two cross-walks.

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Figure 2: A pedestrian crossing from Tofu's point of view.

  1. Read license plates and parking stall numbers of parked vehicles.

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Figure 3: A parked vehicle, with its parking stall number and license plate in view.

An overview summarizing our software architecture is included below:

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