Dariu M. Gavrila

About

Dariu M. Gavrila is a prominent computer vision and robotics researcher whose work spans pedestrian detection, autonomous navigation, and human-robot interaction. He is perhaps best known for his landmark 2008 survey on monocular pedestrian detection, which has accumulated over 1,200 citations and remains a foundational reference for researchers working on intelligent vehicles, surveillance, and robotics. This work helped define the methodological landscape of a rapidly evolving field and continues to influence how pedestrian detection systems are designed and evaluated. Beyond perception, Gavrila has made significant contributions to motion planning under uncertainty, developing optimization-based trajectory planning methods that account for the unpredictable behavior of humans and dynamic obstacles. His research on topology-driven and globally guided planning approaches addresses real-world challenges faced by autonomous robots navigating shared environments. He has also contributed to multi-sensor calibration, proposing a unified tool for jointly calibrating radar, camera, and lidar systems—now available as open-source software. Gavrila's work extends into social robotics, demonstrated through the development and real-world deployment of FROG, an affective outdoor guide robot. His consistently interdisciplinary output, bridging computer vision, probabilistic planning, and human-aware robotics, underscores his enduring impact on autonomous systems research.

Research Focus

Key Achievements

Top Papers

1. 1
   Monocular Pedestrian Detection: Survey and Experiments

   1,226 citations · 2008
2. 2
   Context-Based Path Prediction for Targets with Switching Dynamics

   137 citations · 2018
3. 3
   A Joint Extrinsic Calibration Tool for Radar, Camera and Lidar

   96 citations · 2021
4. 4
   Scenario-Based Trajectory Optimization in Uncertain Dynamic Environments

   29 citations · 2021
5. 5
   The development and real-world deployment of FROG, the fun robotic outdoor guide

   21 citations · 2014
6. 6
   Topology-Driven Parallel Trajectory Optimization in Dynamic Environments

   20 citations · 2024
7. 7
   Globally Guided Trajectory Planning in Dynamic Environments

   15 citations · 2023
8. 8
   Scenario-based motion planning with bounded probability of collision

   10 citations · 2025
9. 9
   General-Sum Multi-Agent Continuous Inverse Optimal Control

   10 citations · 2021
10. 10
    The development and real-world application of FROG, the fun robotic outdoor guide

    6 citations · 2014

Key Collaborators

Contact & Links