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Zeyu Han

9 papers hereh-index 6197 citations14 works total

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

author position
  • first author3
  • middle author5

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.RO5
  • cs.CV2
  • eess.SP1
  • eess.SY1
same name
  • Zeyu Han — 9 papers, h 8
  • Zeyu Han — 2 papers, h 4
  • Zeyu Han — 2 papers, h 3
  • Zeyu Han — 1 paper, h 0
  • Zeyu Han — 1 paper, h 0
  • Zeyu Han — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232025
most cited4D Millimeter-Wave Radar in Autonomous Driving: A Survey

13 citations · 19 across the 9 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

eess.SY2024

EDRF: Enhanced Driving Risk Field Based on Multimodal Trajectory Prediction and Its Applications

Junkai Jiang, Zeyu Han, Yuning Wang +4

Driving risk assessment is crucial for both autonomous vehicles and human-driven vehicles. The driving risk can be quantified as the product of the probability that an event (such…

cs.RO2024

A Generalized Control Revision Method for Autonomous Driving Safety

Zehang Zhu, Yuning Wang, Tianqi Ke +5

Safety is one of the most crucial challenges of autonomous driving vehicles, and one solution to guarantee safety is to employ an additional control revision module after the plann…

cs.RO2024

DenserRadar: A 4D millimeter-wave radar point cloud detector based on dense LiDAR point clouds

Zeyu Han, Junkai Jiang, Xiaokang Ding +4

The 4D millimeter-wave (mmWave) radar, with its robustness in extreme environments, extensive detection range, and capabilities for measuring velocity and elevation, has demonstrat…

cs.CV2024★ 2 cited

Neural Radiance Field in Autonomous Driving: A Survey

Lei He, Leheng Li, Wenchao Sun +5

Neural Radiance Field (NeRF) has garnered significant attention from both academia and industry due to its intrinsic advantages, particularly its implicit representation and novel…

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