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20132023
most citedDeep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges

1.4k citations · 3k across the 64 of their papers we have counts for

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2 papers · 1 filter

eess.SY2020

Kalman Filter Meets Subjective Logic: A Self-Assessing Kalman Filter Using Subjective Logic

Thomas Griebel, Johannes Müller, Michael Buchholz +1

Self-assessment is a key to safety and robustness in automated driving. In order to design safer and more robust automated driving functions, the goal is to self-assess the perform…

eess.SY2018★ 5 cited

The Adaptive Labeled Multi-Bernoulli Filter

Andreas Danzer, Stephan Reuter, Klaus Dietmayer

This paper proposes a new multi-Bernoulli filter called the Adaptive Labeled Multi-Bernoulli filter. It combines the relative strengths of the known Delta-Generalized Labeled Multi…