:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Grimm, Daniel, Abouelazm, Ahmed, Zöllner, J. Marius
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2507.18196
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Diverse and Adaptive Behavior Curriculum for Autonomous Driving: A Student-Teacher Framework with Multi-Agent RL
by: Abouelazm, Ahmed, et al.
Published: (2025)

Beyond Scalar Rewards: Distributional Reinforcement Learning with Preordered Objectives for Safe and Reliable Autonomous Driving
by: Abouelazm, Ahmed, et al.
Published: (2026)

Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions
by: Bogdoll, Daniel, et al.
Published: (2024)

A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving
by: Abouelazm, Ahmed, et al.
Published: (2024)

Recall to Predict: Grounding Motion Forecasting in Interpretable Motion Bank
by: Vivekanandan, Abhishek, et al.
Published: (2026)

TPK: Trustworthy Trajectory Prediction Integrating Prior Knowledge For Interpretability and Kinematic Feasibility
by: Baden, Marius, et al.
Published: (2025)

Boundary-Guided Trajectory Prediction for Road Aware and Physically Feasible Autonomous Driving
by: Abouelazm, Ahmed, et al.
Published: (2025)

Description of Corner Cases in Automated Driving: Goals and Challenges
by: Bogdoll, Daniel, et al.
Published: (2021)

Conditional Unscented Autoencoders for Trajectory Prediction
by: Janjoš, Faris, et al.
Published: (2023)

Uncertainty-Aware and Temporally Regulated Expert Advice in Reinforcement Learning for Autonomous Driving
by: Abouelazm, Ahmed, et al.
Published: (2026)

KI-PMF: Knowledge Integrated Plausible Motion Forecasting
by: Vivekanandan, Abhishek, et al.
Published: (2023)

MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric Representations
by: Bogdoll, Daniel, et al.
Published: (2023)

LanePerf: a Performance Estimation Framework for Lane Detection
by: Wu, Yin, et al.
Published: (2025)

Efficient Cross-Country Data Acquisition Strategy for ADAS via Street-View Imagery
by: Wu, Yin, et al.
Published: (2026)

Design and Behavior of Sparse Mixture-of-Experts Layers in CNN-based Semantic Segmentation
by: Pavlitska, Svetlana, et al.
Published: (2026)

Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness
by: Yao, Yue, et al.
Published: (2025)

Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models
by: Bogdoll, Daniel, et al.
Published: (2021)

Towards a Systematic Risk Assessment of Deep Neural Network Limitations in Autonomous Driving Perception
by: Pavlitska, Svetlana, et al.
Published: (2026)

Evaluating Adversarial Attacks on Traffic Sign Classifiers beyond Standard Baselines
by: Pavlitska, Svetlana, et al.
Published: (2024)

Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation
by: Pavlitska, Svetlana, et al.
Published: (2024)

Exploring Semantic Clustering and Similarity Search for Heterogeneous Traffic Scenario Graph
by: Mütsch, Ferdinand, et al.
Published: (2025)

Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning
by: Abouelazm, Ahmed, et al.
Published: (2025)

Runtime Safety Monitoring of Deep Neural Networks for Perception: A Survey
by: Schotschneider, Albert, et al.
Published: (2025)

EffiComm: Bandwidth Efficient Multi Agent Communication
by: Yazgan, Melih, et al.
Published: (2025)

Why Braking? Scenario Extraction and Reasoning Utilizing LLM
by: Wu, Yin, et al.
Published: (2025)

CIG: Exploration via Conditional Information Gain
by: Joseph, Tim, et al.
Published: (2026)

Self-Supervised Pretraining for Aerial Road Extraction
by: Polley, Rupert, et al.
Published: (2025)

Robust Experts: the Effect of Adversarial Training on CNNs with Sparse Mixture-of-Experts Layers
by: Pavlitska, Svetlana, et al.
Published: (2025)

Domain-Specialized Object Detection via Model-Level Mixtures of Experts
by: Pavlitska, Svetlana, et al.
Published: (2026)

GC-GAT: Multimodal Vehicular Trajectory Prediction using Graph Goal Conditioning and Cross-context Attention
by: Gulzar, Mahir, et al.
Published: (2025)

Extracting Uncertainty Estimates from Mixtures of Experts for Semantic Segmentation
by: Pavlitska, Svetlana, et al.
Published: (2025)

Fool the Stoplight: Realistic Adversarial Patch Attacks on Traffic Light Detectors
by: Pavlitska, Svetlana, et al.
Published: (2025)

Bridging Simulation and Usability: A User-Friendly Framework for Scenario Generation in CARLA
by: Abouelazm, Ahmed, et al.
Published: (2025)

Balancing Progress and Safety: A Novel Risk-Aware Objective for RL in Autonomous Driving
by: Abouelazm, Ahmed, et al.
Published: (2025)

When Are RL Hyperparameters Benign? A Study in Offline Goal-Conditioned RL
by: Töpperwien, Jan Malte, et al.
Published: (2026)

RoBiologyDataChoiceQA: A Romanian Dataset for improving Biology understanding of Large Language Models
by: Ghinea, Dragos-Dumitru, et al.
Published: (2025)

A Universal Metric of Dataset Similarity for Cross-silo Federated Learning
by: Elhussein, Ahmed, et al.
Published: (2024)

The ATLAS of Traffic Lights: A Reliable Perception Framework for Autonomous Driving
by: Polley, Rupert, et al.
Published: (2025)

2.5D Object Detection for Intelligent Roadside Infrastructure
by: Polley, Nikolai, et al.
Published: (2025)

Technical Report: Evaluating Goal Drift in Language Model Agents
by: Arike, Rauno, et al.
Published: (2025)