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researcher

A. Kummert

15 papers hereh-index 242.4k citations297 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author15

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CV14
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedEffNet: An Efficient Structure for Convolutional Neural Networks

14 citations · 38 across the 12 of their papers we have counts for

collaborators
Showing 2023 · cs.CVShow all

3 papers · 2 filters

cs.CV2023★ 2 cited

CASPNet++: Joint Multi-Agent Motion Prediction

Maximilian Schäfer, Kun Zhao, Anton Kummert

The prediction of road users' future motion is a critical task in supporting advanced driver-assistance systems (ADAS). It plays an even more crucial role for autonomous driving (A…

cs.CV2023★ 2 cited

Deep Learning Method for Cell-Wise Object Tracking, Velocity Estimation and Projection of Sensor Data over Time

Marco Braun, Moritz Luszek, Mirko Meuter +3

Current Deep Learning methods for environment segmentation and velocity estimation rely on Convolutional Recurrent Neural Networks to exploit spatio-temporal relationships within o…

cs.CV2023★ 3 cited

Semantic Segmentation of Radar Detections using Convolutions on Point Clouds

Marco Braun, Alessandro Cennamo, Markus Schoeler +2

For autonomous driving, radar sensors provide superior reliability regardless of weather conditions as well as a significantly high detection range. State-of-the-art algorithms for…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.