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Muhammad Latif Anjum

2 accepted papers

2024

Deeper Introspective SLAM: How to Avoid Tracking Failures Over Longer Routes?

IROS 2024poster

Large scale active exploration has recently revealed limitations of visual SLAM’s tracking ability. Active view planning methods based on reinforcement learning have been proposed to improve visual tracking robustness.In this work, we expose the limitations of deep reinforcement learning-based visua…

Cited by 0SourceScholar
2022

Perceptual Aliasing++: Adversarial Attack for Visual SLAM Front-End and Back-End

RA-L 2022

Similar appearing places are known to confuse place recognition methods (a.k.a perceptual aliasing). Robust visual SLAM methods have shown impressive resilience against scenarios having moderate perceptual aliasing. In this work, we evaluate visual SLAM in scenarios where perceptual aliasing occurs

Cited by 21SourceScholar