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20182026
most citedHuman Motion Trajectory Prediction: A Survey

656 citations · 1.2k across the 22 of their papers we have counts for

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8 papers · 1 filter

cs.RO2026

DRIFT: Dual-Representation Inter-Fusion Transformer for Automated Driving Perception with 4D Radar Point Clouds

Siqi Pei, Andras Palffy, Dariu M. Gavrila

4D radars, which provide 3D point cloud data along with Doppler velocity, are attractive components of modern automated driving systems due to their low cost and robustness under a…

cs.RO2025

Multi-Modal Model Predictive Path Integral Control for Collision Avoidance

Alberto Bertipaglia, Dariu M. Gavrila, Barys Shyrokau

This paper proposes a novel approach to motion planning and decision-making for automated vehicles, using a multi-modal Model Predictive Path Integral control algorithm. The method…

cs.RO2025

A Vehicle System for Navigating Among Vulnerable Road Users Including Remote Operation

Oscar de Groot, Alberto Bertipaglia, Hidde Boekema +21

We present a vehicle system capable of navigating safely and efficiently around Vulnerable Road Users (VRUs), such as pedestrians and cyclists. The system comprises key modules for…

cs.RO2024★ 3 cited

Topology-Driven Parallel Trajectory Optimization in Dynamic Environments

Oscar de Groot, Laura Ferranti, Dariu M. Gavrila +1

Ground robots navigating in complex, dynamic environments must compute collision-free trajectories to avoid obstacles safely and efficiently. Nonconvex optimization is a popular me…

cs.RO2023★ 6 cited

Scenario-Based Motion Planning with Bounded Probability of Collision

Oscar de Groot, Laura Ferranti, Dariu Gavrila +1

Robots will increasingly operate near humans that introduce uncertainties in the motion planning problem due to their complex nature. Typically, chance constraints are introduced i…

cs.RO2023★ 1 cited

Globally Guided Trajectory Planning in Dynamic Environments

O. de Groot, L. Ferranti, D. Gavrila +1

Navigating mobile robots through environments shared with humans is challenging. From the perspective of the robot, humans are dynamic obstacles that must be avoided. These obstacl…

cs.RO2021

Scenario-Based Trajectory Optimization in Uncertain Dynamic Environments

O. de Groot, B. Brito, L. Ferranti +2

We present an optimization-based method to plan the motion of an autonomous robot under the uncertainties associated with dynamic obstacles, such as humans. Our method bounds the m…

cs.RO2019★ 656 cited

Human Motion Trajectory Prediction: A Survey

Andrey Rudenko, Luigi Palmieri, Michael Herman +3

With growing numbers of intelligent autonomous systems in human environments, the ability of such systems to perceive, understand and anticipate human behavior becomes increasingly…