Question in updating collision maps in ans.py. about occupancyanticipation

[JeremyLinky]

There are two coordinate systems involved here.

(1) For the purposes of tracking the agent's 2D pose in the world map, we assume the following conventions: agent starts at the map center --- (0, 0) --- with X as forward, Y as rightward, and heading as positive starting from X to Y.

(2) We also use the standard image indexing for addressing the 2D map and for setting subgoals for planning. Here, the origin is the top-left corner, i.e., the agent starts at (H/2, W/2) where the map size is (H, W), and X is rightward, Y is downward, and heading is positive from X to Y.

In the line you are looking at, we basically convert the agent heading from coordinate system (1) to (2).

                x1, y1 = asnumpy(self.states["prev_map_position"][i]).tolist()
                x2, y2 = asnumpy(self.states["curr_map_position"][i]).tolist()
                t2 = global_pose[i, 2].item() - math.pi / 2

Thanks for your reply!

[srama2512]

There are two coordinate systems involved here.

(1) For the purposes of tracking the agent's 2D pose in the world map, we assume the following conventions: agent starts at the map center --- (0, 0) --- with X as forward, Y as rightward, and heading as positive starting from X to Y.

(2) We also use the standard image indexing for addressing the 2D map and for setting subgoals for planning. Here, the origin is the top-left corner, i.e., the agent starts at (H/2, W/2) where the map size is (H, W), and X is rightward, Y is downward, and heading is positive from X to Y.

In the line you are looking at, we basically convert the agent heading from coordinate system (1) to (2).

                x1, y1 = asnumpy(self.states["prev_map_position"][i]).tolist()
                x2, y2 = asnumpy(self.states["curr_map_position"][i]).tolist()
                t2 = global_pose[i, 2].item() - math.pi / 2