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Parking Assistance for Trailer-Truck Transport Vehicles Using Sensor Fusion and Motion Planning
May 4, 2026George Alenchery, Thomas Jeske, Tova Quinones +4Autonomous Driving Obstacle Avoidance
Online Generalised Predictive Coding
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Human Activity Recognition Method for Moderate Violence Detection
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Neuromorphic Control for 3D Navigation in Minecraft Using Genetic Algorithms
May 4, 2026Eric ZiporCoverage Path Planning Parkour Locomotion
On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Length
May 4, 2026Sunghwan Kim, Junhee Cho, Beong-woo Kwak +6Long-Horizon Tasks Large Models
Automated In-the-Wild Data Collection for Continual AI Generated Image Detection
May 4, 2026Thanasis Pantsios, Dimitrios Karageorgiou, Christos Koutlis +3Ai-Generated Image Detection Generative Artificial Intelligence
Beyond Specialization: Robust Reinforcement Learning Navigation via Procedural Map Generators
May 4, 2026Christian Jestel, Nicolas Bach, Marvin Wiedemann +2Deep Reinforcement Learning Navigation
A Semantic Autonomy Framework for VLM-Integrated Indoor Mobile Robots: Hybrid Deterministic Reasoning and Cross-Robot Adaptive Memory
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Physics-Informed Neural Learning for State Reconstruction and Parameter Identification in Coupled Greenhouse Climate Dynamics
May 4, 2026Sani Biswas, Khursheed J. Ansari, Md. Nasim AkhtarConventional Physics-Informed Neural Networks Climate
Middle-mile logistics through the lens of goal-conditioned reinforcement learning
May 4, 2026Onno Eberhard, Thibaut Cuvelier, Michal Valko +1Goal-Conditioned Reinforcement Learning Last Mile
FedPLT: Scalable, Resource-Efficient, and Heterogeneity-Aware Federated Learning via Partial Layer Training
May 4, 2026Ahmad Dabaja, Rachid El-AzouziHeterogeneous Federated Learning Federated Learning
LLM-enabled Social Agents
May 4, 2026Önder Gürcan, Moharram ChallengerArtificial Intelligence Agents
SOTOPIA-TOM: Evaluating Privacy and Information Management in Multi-Agent Interaction with Theory of Mind
May 4, 2026Yashwanth YS, Ruichen Wang, Shihua Zeng +4Multi-Agent Systems Large Language Model Agents
Beyond Known Objects: A Novel Framework for Open-Set Object Detection using Negative-Aware Norm
May 4, 2026Yuchen Zhang, Yao Lu, Johannes BetzOpen-Vocabulary Object Detection Autonomous Driving
T $^2$ PO: Uncertainty-Guided Exploration Control for Stable Multi-Turn Agentic Reinforcement Learning
May 4, 2026Haixin Wang, Hejie Cui, Chenwei Zhang +7Multi-Objective Policy Optimization Efficient Exploration
Cross-Polarization Fusion of VV AND VH SAR Observations for Improved Flood Mapping
May 4, 2026Jagrati Talreja, Tewodros Syum Gebre, Leila Hashemi BeniFlood Detection Synthetic Aperture Radar
Optimized and kinematically feasible multi-agent motion planning
May 3, 2026Anja Hellander, Kristoffer Bergman, Daniel AxehillRobot Planning Planning Methods
HERCULES: Hardware-Efficient, Robust, Continual Learning Neural Architecture Search
May 3, 2026Matteo Gambella, Fabrizio Pittorino, Manuel RoveriNeural Architecture Search Artificial Intelligence Infrastructure
MER-DG: Modality-Entropy Regularization for Multimodal Domain Generalization
May 3, 2026Yavuz Yarici, Ghassan AlRegibMultimodal Domain Generalization Cross-Modal Learning
Deep learning-based pavement performance modeling using multiple distress indicators and road work history
May 3, 2026Lu Gao, Zhe Han, Yunshen ChenPavement Convolutional Neural Networks
Leveraging Data Symmetries to Select an Optimal Subset of Training Data under Label Noise
May 3, 2026Kumar Shubham, Pavan Karjol, Kiran M K +1Noisy Labels High-Dimensional Data
Maistros: A Greek Large Language Model Adapted Through Knowledge Distillation From Large Reasoning Models
May 3, 2026Nikolaos Giarelis, Charalampos Mastrokostas, Nikos KaracapilidisMultilingual Large Language Models Large Language
Quality-Aware Exploration Budget Allocation for Cooperative Multi-Agent Reinforcement Learning
May 3, 2026Dahyun Oh, Minhyuk Yoon, H. Jin KimMulti-Agent Reinforcement Learning Exploration-Exploitation Dilemma
Optimizing Trajectory-Trees in Belief Space: An Application from Model Predictive Control to Task and Motion Planning
May 3, 2026Camille Phiquepal, Marc ToussaintModel Predictive Control Robot Planning
Stable Blanket with Hidden Variables and Cycles
May 3, 2026Hanqing XiangCausal Graph Latent Variable
MAGIC: Multi-Step Advantage-Gated Causal Influence for Multi-agent Reinforcement Learning
May 3, 2026Haohan Yu, Jinmiao Cong, Shengzhi Wang +2Multi-Agent Reinforcement Learning Team Formation
Robust Linear Dueling Bandits with Post-serving Context under Unknown Delays and Adversarial Corruptions
May 3, 2026Youngmin OhBandits Delay
Multi-Scale Gaussian-Language Map for Zero-shot Embodied Navigation and Reasoning
May 3, 2026Sixian Zhang, Yiyao Wang, Xinhang Song +3Semantic Mapping Embodied Navigation
EGAD: Entropy-Guided Adaptive Distillation for Token-Level Knowledge Transfer
May 3, 2026Hao Zhang, Zhibin Zhang, Guangxin Wu +3Knowledge Distillation Token-Level Uncertainty
Exploring Entropy-based Active Learning for Fair Brain Segmentation
May 3, 2026Ghazal Danaee, Mélanie Gaillochet, Christian Desrosiers +2Fairness-Aware Learning Medical Image Segmentation

May 4, 2026 · cs.ROJ/K move · Enter open · S save

Parking Assistance for Trailer-Truck Transport Vehicles Using Sensor Fusion and Motion Planning

George Alenchery, Thomas Jeske, Tova Quinones, Lentz Fortune+3

Software Engineering Department Florida Gulf Coast University

Autonomous driving technology has rapidly evolved over the past decade, offering significant improvements in transportation efficiency, safety, and cost reduction. While much of the progress has focused on highway driving and obstacle avoidance, low-speed maneuvers such as parking remain among the most difficult challenges for autonomous systems. This challenge is especially pronounced in trailer-truck transport vehicles due to their articulated motion and environmental constraints. This paper presents a proposed framework for autonomous truck parking that integrates perception, motion planning, control systems, and infrastructure awareness. By combining sensor fusion, Hybrid A* path planning, nonlinear model predictive control (NMPC), and data-driven parking systems, this work highlights the importance of system-level coordination for reliable and scalable autonomous parking solutions. As a proof-of-concept implementation, we adapted an open-source A* path planning simulation to incorporate a tractor-trailer kinematic model, demonstrating articulated vehicle path planning within a command-line simulation environment, with jackknife prevention identified as an area requiring further development.

Autonomous Driving Obstacle Avoidance Model Predictive Control

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