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01/17/2021
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction
Over the last few years, we have witnessed tremendous progress on many s...
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research
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01/17/2021
Asynchronous Multi-View SLAM
Existing multi-camera SLAM systems assume synchronized shutters for all ...
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12/23/2020
Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars
We are interested in understanding whether retrieval-based localization ...
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12/20/2020
Learning to Localize Through Compressed Binary Maps
One of the main difficulties of scaling current localization systems to ...
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12/20/2020
Learning to Localize Using a LiDAR Intensity Map
In this paper we propose a real-time, calibration-agnostic and effective...
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10/29/2020
Permute, Quantize, and Fine-tune: Efficient Compression of Neural Networks
Compressing large neural networks is an important step for their deploym...
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08/08/2019
Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization
In this paper we propose a novel semantic localization algorithm that ex...
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05/07/2019
