Martin Lauer

About Martin Lauer

Martin Lauer, With an exceptional h-index of 31 and a recent h-index of 25 (since 2020), a distinguished researcher at Karlsruher Institut für Technologie, specializes in the field of autonomous driving, machine learning, computer vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Adversarial Defense Teacher for Cross-Domain Object Detection under Poor Visibility Conditions

PITA: Physics-Informed Trajectory Autoencoder

Calendar [Calendar]

Verhaltensentscheidung für automatisierte Fahrzeuge mittels Arbitrationsgraphen

End-to-End Trainable Deep Neural Network for Radar Interference Detection and Mitigation

An approach to systematic data acquisition and data-driven simulation for the safety testing of automated driving functions

Cooperative Automated Driving for Bottleneck Scenarios in Mixed Traffic

Calender

Martin Lauer Information

University

Position

___

Citations(all)

4434

Citations(since 2020)

2707

Cited By

2796

hIndex(all)

31

hIndex(since 2020)

25

i10Index(all)

68

i10Index(since 2020)

47

Email

University Profile Page

Google Scholar

Martin Lauer Skills & Research Interests

autonomous driving

machine learning

computer vision

Top articles of Martin Lauer

Adversarial Defense Teacher for Cross-Domain Object Detection under Poor Visibility Conditions

arXiv preprint arXiv:2403.15786

2024/3/23

Kaiwen Wang
Kaiwen Wang

H-Index: 1

Martin Lauer
Martin Lauer

H-Index: 19

PITA: Physics-Informed Trajectory Autoencoder

arXiv preprint arXiv:2403.11728

2024/3/18

Calendar [Calendar]

IEEE Intelligent Transportation Systems Magazine

2024/1/4

Martin Lauer
Martin Lauer

H-Index: 19

Verhaltensentscheidung für automatisierte Fahrzeuge mittels Arbitrationsgraphen

2024

End-to-End Trainable Deep Neural Network for Radar Interference Detection and Mitigation

2023/11/6

Martin Lauer
Martin Lauer

H-Index: 19

An approach to systematic data acquisition and data-driven simulation for the safety testing of automated driving functions

2023/9/24

Cooperative Automated Driving for Bottleneck Scenarios in Mixed Traffic

35th IEEE Intelligent Vehicles Symposium (IV 2023), Anchorage, AK, USA, June 4-7, 2023

2023

Calender

IEEE Intelligent Transportation Systems Magazine

2023/1/11

Martin Lauer
Martin Lauer

H-Index: 19

LDFA: Latent diffusion face anonymization for self-driving applications

2023

Jannik Quehl
Jannik Quehl

H-Index: 4

Martin Lauer
Martin Lauer

H-Index: 19

A modern perspective on safe automated driving for different traffic dynamics using constrained reinforcement learning

2022/10

Real-time seamless image stitching in autonomous driving

2022/7/4

Martin Lauer
Martin Lauer

H-Index: 19

Combining 2D and 3D Datasets with Object-Conditioned Depth Estimation

2022/6/4

Automatic multimodal sensor calibration of the UNICARagil vehicles

tm-Technisches Messen

2022/4/30

Real-time stereo semi-global matching for video processing using previous incremental information

Journal of Real-Time Image Processing

2022/2

Martin Lauer
Martin Lauer

H-Index: 19

Christoph Stiller
Christoph Stiller

H-Index: 42

Decision-making for automated vehicles using behavior-based arbitration schemes

AT-AUTOMATISIERUNGSTECHNIK

2021/2/1

Sampling-based inverse reinforcement learning algorithms with safety constraints

2021/9/27

Johannes Fischer
Johannes Fischer

H-Index: 0

Martin Lauer
Martin Lauer

H-Index: 19

High-level decisions from a safe maneuver catalog with reinforcement learning for safe and cooperative automated merging

2021/9/19

Effiziente Schätzung des Ego-Fahrstreifens auf RGB-Sequenzen für Mikromobilitätssysteme

tm-Technisches Messen

2021/8/27

Martin Lauer
Martin Lauer

H-Index: 19

A cuboid detection and tracking system using a multi rgbd camera setup for intelligent manipulation and logistics

2021/8/23

Calnedar

IEEE Intelligent Transportation Systems Magazine

2021/7/26

Martin Lauer
Martin Lauer

H-Index: 19

See List of Professors in Martin Lauer University(Karlsruher Institut für Technologie)

Co-Authors

academic-engine