Madhur Behl

Madhur Behl

University of Virginia

H-index: 21

North America-United States

About Madhur Behl

Madhur Behl, With an exceptional h-index of 21 and a recent h-index of 18 (since 2020), a distinguished researcher at University of Virginia, specializes in the field of Autonomous Vehicles, Robotics, Cyber Physical Systems, Smart Cities.

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

Deep Dynamics: Vehicle Dynamics Modeling with a Physics-Constrained Neural Network for Autonomous Racing

ARGOS: An Automaton Referencing Guided Overtake System for Head-to-Head Autonomous Racing

RACECAR-The Dataset for High-Speed Autonomous Racing

Vehicle dynamics modeling for autonomous racing using gaussian processes

Scalable deep kernel gaussian process for vehicle dynamics in autonomous racing

AI-Driven Blade Alignment for Aerial Vehicles’ Rotary Systems Using the A* Algorithm and Statistical Heuristics

Data-Driven Model Predictive Control For Real-Time Stormwater Management

Autonomous vehicles on the edge: A survey on autonomous vehicle racing

Madhur Behl Information

University

Position

Assistant Professor

Citations(all)

1511

Citations(since 2020)

1088

Cited By

781

hIndex(all)

21

hIndex(since 2020)

18

i10Index(all)

35

i10Index(since 2020)

22

Email

University Profile Page

University of Virginia

Google Scholar

View Google Scholar Profile

Madhur Behl Skills & Research Interests

Autonomous Vehicles

Robotics

Cyber Physical Systems

Smart Cities

Top articles of Madhur Behl

Title

Journal

Author(s)

Publication Date

Deep Dynamics: Vehicle Dynamics Modeling with a Physics-Constrained Neural Network for Autonomous Racing

IEEE Robotics and Automation Letters

John Chrosniak

Jingyun Ning

Madhur Behl

2024/4/15

ARGOS: An Automaton Referencing Guided Overtake System for Head-to-Head Autonomous Racing

arXiv preprint arXiv:2401.15783

Varundev Sukhil

Madhur Behl

2024/1/28

RACECAR-The Dataset for High-Speed Autonomous Racing

Amar Kulkarni

John Chrosniak

Emory Ducote

Florian Sauerbeck

Andrew Saba

...

2023/10/1

Vehicle dynamics modeling for autonomous racing using gaussian processes

arXiv preprint arXiv:2306.03405

Jingyun Ning

Madhur Behl

2023/6/6

Scalable deep kernel gaussian process for vehicle dynamics in autonomous racing

Jingyun Ning

Madhur Behl

2023/12/2

AI-Driven Blade Alignment for Aerial Vehicles’ Rotary Systems Using the A* Algorithm and Statistical Heuristics

Engineering Proceedings

Samarth Godara

Madhur Behl

Gaurab Dutta

Rajender Parsad

Sudeep Marwaha

2023/11/15

Data-Driven Model Predictive Control For Real-Time Stormwater Management

Jingyun Ning

Benjamin D Bowes

Jonathan L Goodall

Madhur Behl

2022/6/8

Autonomous vehicles on the edge: A survey on autonomous vehicle racing

IEEE Open Journal of Intelligent Transportation Systems

Johannes Betz

Hongrui Zheng

Alexander Liniger

Ugo Rosolia

Phillip Karle

...

2022/6/8

Threading the Needle—Overtaking Framework for Multi-agent Autonomous Racing

SAE International Journal of Connected and Automated Vehicles

Varundev Suresh Babu

Madhur Behl

2022/4

Teaching autonomous systems hands-on: Leveraging modular small-scale hardware in the robotics classroom

arXiv preprint arXiv:2209.11181

Johannes Betz

Hongrui Zheng

Zirui Zang

Florian Sauerbeck

Krzysztof Walas

...

2022/9/21

IEEE Robotics and Automation Society Congratulates Recently Elevated Senior Members

IEEE Robotics & Automation Magazine

Imin Kao

Rawa Adla

Patrick Martin

Claude Dinsmoor

Kumarasenthil Muthuvel

...

2021/9

This is the way: Differential bayesian filtering for agile trajectory synthesis

IEEE Robotics and Automation Letters

Trent Weiss

Madhur Behl

2022/7/25

Estimating impacts of recurring flooding on roadway networks: a Norfolk, Virginia case study

Natural Hazards

Shraddha Praharaj

T Donna Chen

Faria T Zahura

Madhur Behl

Jonathan L Goodall

2021

Scenario2Vector: scenario description language based embeddings for traffic situations

Aron Harder

Jaspreet Ranjit

Madhur Behl

2021/5/19

Towards multi-agent autonomous racing with the Deepracing framework.

International Conference on Robotics and Automation (ICRA)-Workshop on Opportunities and Challenges with Autonomous Racing

Trent Weiss

John Chrosniak

Madhur Behl

2021/5

Flood mitigation in coastal urban catchments using real-time stormwater infrastructure control and reinforcement learning

Journal of Hydroinformatics

Benjamin D Bowes

Arash Tavakoli

Cheng Wang

Arsalan Heydarian

Madhur Behl

...

2021/5/1

Assessing the trustworthiness of crowdsourced rainfall networks: A reputation system approach

Water Resources Research

Alexander B Chen

Madhur Behl

Jonathan L Goodall

2021/12

Adaptive lookahead pure-pursuit for autonomous racing

arXiv preprint arXiv:2111.08873

Varundev Sukhil

Madhur Behl

2021/11/17

Training machine learning surrogate models from a high‐fidelity physics‐based model: Application for real‐time street‐scale flood prediction in an urban coastal community

Water Resources Research

Faria T Zahura

Jonathan L Goodall

Jeffrey M Sadler

Yawen Shen

Mohamed M Morsy

...

2020/10

Deep learning using physically-informed input data for wetland identification

Environmental modelling & software

Gina L O'Neil

Jonathan L Goodall

Madhur Behl

Linnea Saby

2020/4/1

See List of Professors in Madhur Behl University(University of Virginia)

Co-Authors

H-index: 128
Alberto Sangiovanni Vincentelli

Alberto Sangiovanni Vincentelli

University of California, Berkeley

H-index: 105
George J. Pappas

George J. Pappas

University of Pennsylvania

H-index: 72
Sanjit A. Seshia

Sanjit A. Seshia

University of California, Berkeley

H-index: 42
Marko Bertogna

Marko Bertogna

Università degli Studi di Modena e Reggio Emilia

H-index: 41
Rahul Mangharam

Rahul Mangharam

University of Pennsylvania

H-index: 35
Jonathan L. Goodall

Jonathan L. Goodall

University of Virginia

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