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Hi,
thanks for your interest in our work.
Do you mean how we get the ground truth answers?
We collect data in CARLA with a privileged rule-based algorithm. During the data collection, we save privileged information from the simulator and information from the rule-based algorithm about the "triggered" rules for the current decision. So we have a range of metadata about perception-related things and decision-related things.
With this metadata, we constructed a set of heuristics to create questions and answers for DriveLM-CARLA.
Let me know if this answers your question :)
Best,
Katrin
Hi, thanks for your interest in our work. Do you mean how we get the ground truth answers?
We collect data in CARLA with a privileged rule-based algorithm. During the data collection, we save privileged information from the simulator and information from the rule-based algorithm about the "triggered" rules for the current decision. So we have a range of metadata about perception-related things and decision-related things. With this metadata, we constructed a set of heuristics to create questions and answers for DriveLM-CARLA.
Let me know if this answers your question :) Best, Katrin
Thank you for your reply, can you publish the code for the part "constructed a set of heuristics to create questions and answers", or can you provide more detailed information?
How to get answers to the questions in the full graph of DriveLM-CARLA?
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