most citedGenerative AI for Autonomous Driving: A Review

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2025

Residual Neural Terminal Constraint for MPC-based Collision Avoidance in Dynamic Environments

Bojan Derajić, Mohamed-Khalil Bouzidi, Sebastian Bernhard +1

In this paper, we propose a hybrid MPC local planner that uses a learning-based approximation of a time-varying safe set, derived from local observations and applied as the MPC ter…

cs.RO2025

Model Predictive Control for Crowd Navigation via Learning-Based Trajectory Prediction

Mohamed Parvez Aslam, Bojan Derajic, Mohamed-Khalil Bouzidi +2

Safe navigation in pedestrian-rich environments remains a key challenge for autonomous robots. This work evaluates the integration of a deep learning-based Social-Implicit (SI) ped…

cs.CV20251 cited

Generative AI for Autonomous Driving: A Review

Katharina Winter, Abhishek Vivekanandan, Rupert Polley +17

Generative AI (GenAI) is rapidly advancing the field of Autonomous Driving (AD), extending beyond traditional applications in text, image, and video generation. We explore how gene…

eess.SY2025

Reachability-Based Contingency Planning against Multi-Modal Predictions with Branch MPC

Mohamed-Khalil Bouzidi, Bojan Derajic, Daniel Goehring +1

This paper presents a novel contingency planning framework that integrates learning-based multi-modal predictions of traffic participants into Branch Model Predictive Control (MPC)…

cs.RO2024

Motion Planning under Uncertainty: Integrating Learning-Based Multi-Modal Predictors into Branch Model Predictive Control

Mohamed-Khalil Bouzidi, Bojan Derajic, Daniel Goehring +1

In complex traffic environments, autonomous vehicles face multi-modal uncertainty about other agents' future behavior. To address this, recent advancements in learningbased motion…