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Heading estimation can now be dynamically refined in challenging environments, drastically reducing drift and improving accuracy during GNSS outages.
Multi-source visual reasoning can actually *hurt* performance when modalities conflict, but MARS solves this by adaptively emphasizing mutual promotion and suppressing noise, leading to significant gains.
