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P. Heidenreich

6 papers hereh-index 13943 citations32 works total

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

author position
  • middle author6

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • cs.RO1

identity via Semantic Scholar / OpenAlex

activity
20202023
most citedSemanticVoxels: Sequential Fusion for 3D Pedestrian Detection using LiDAR Point Cloud and Semantic Segmentation

41 citations · 46 across the 5 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

cs.CV2021

Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization

Lukas Stäcker, Juncong Fei, Philipp Heidenreich +4

Deep neural networks have proven increasingly important for automotive scene understanding with new algorithms offering constant improvements of the detection performance. However,…

cs.CV2021★ 4 cited

MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding

Kunyu Peng, Juncong Fei, Kailun Yang +6

At the heart of all automated driving systems is the ability to sense the surroundings, e.g., through semantic segmentation of LiDAR sequences, which experienced a remarkable progr…

cs.CV2021

PillarSegNet: Pillar-based Semantic Grid Map Estimation using Sparse LiDAR Data

Juncong Fei, Kunyu Peng, Philipp Heidenreich +2

Semantic understanding of the surrounding environment is essential for automated vehicles. The recent publication of the SemanticKITTI dataset stimulates the research on semantic s…

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