InfoFusion Controller: Informed TRRT Star with Mutual Information based on Fusion of Pure Pursuit and MPC for Enhanced Path Planning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Choi, Seongjun, Kim, Youngbum, Kim, Nam Woo, Shin, Mansun, Chae, Byunggi, Lee, Sungjin
Format:	Preprint
Published:	2025
Subjects:	Robotics Mathematical Software
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Lachesis: Predicting LLM Inference Accuracy using Structural Properties of Reasoning Paths
by: Kim, Naryeong, et al.
Published: (2024)

SafePlanner: Testing Safety of the Automated Driving System Plan Model
by: Kim, Dohyun, et al.
Published: (2026)

Identifying Bug Inducing Commits by Combining Fault Localisation and Code Change Histories
by: An, Gabin, et al.
Published: (2025)

TriFusion-LLM: Prior-Guided Multimodal Fusion with LLM Arbitration for Fine-grained Code Clone Detection
by: Li, Mengdi, et al.
Published: (2026)

In Pursuit of Spreadsheet Excellence
by: Croll, Grenville J.
Published: (2008)

Enhanced Aiot Multi‐Modal Fusion for Human Activity Recognition in Ambient Assisted Living Environment
by: Ankit D. Patel, et al.
Published: (2024)

FusionLog: Cross-System Log-based Anomaly Detection via Fusion of General and Proprietary Knowledge
by: Zhao, Xinlong, et al.
Published: (2025)

Atropos: Improving Cost-Benefit Trade-off of LLM-based Agents under Self-Consistency with Early Termination and Model Hotswap
by: Kim, Naryeong, et al.
Published: (2026)

DANDI: Diffusion as Normative Distribution for Deep Neural Network Input
by: Kim, Somin, et al.
Published: (2025)

InfoMapping.
by: Horton, Forest Woody, Jr.
Published: (1991)

Deep Graph-Language Fusion for Structure-Aware Code Generation
by: Tiftikci, Mert, et al.
Published: (2026)

Unprecedented Code Change Automation: The Fusion of LLMs and Transformation by Example
by: Dilhara, Malinda, et al.
Published: (2024)

Automating Code Generation for Semiconductor Equipment Control from Developer Utterances with LLMs
by: Kim, Youngkyoung, et al.
Published: (2025)

Capturing Semantic Flow of ML-based Systems
by: Yoo, Shin, et al.
Published: (2025)

The State of Computational Science in Fission and Fusion Energy
by: Coto, Andrea Morales, et al.
Published: (2025)

Hallucination by Code Generation LLMs: Taxonomy, Benchmarks, Mitigation, and Challenges
by: Lee, Yunseo, et al.
Published: (2025)

Software Fault Localization Based on Multi-objective Feature Fusion and Deep Learning
by: Hu, Xiaolei, et al.
Published: (2024)

GRACE: Graph-Guided Repository-Aware Code Completion through Hierarchical Code Fusion
by: Wang, Xingliang, et al.
Published: (2025)

BAFLineDP: Code Bilinear Attention Fusion Framework for Line-Level Defect Prediction
by: Qiu, Shaojian, et al.
Published: (2024)

Missing-Aware Multimodal Fusion for Unified Microservice Incident Management
by: Qian, Wenzhuo, et al.
Published: (2026)

ReDef: Do Code Language Models Truly Understand Code Changes for Just-in-Time Software Defect Prediction?
by: Nam, Doha, et al.
Published: (2025)

MultiTest: Physical-Aware Object Insertion for Testing Multi-sensor Fusion Perception Systems
by: Gao, Xinyu, et al.
Published: (2024)

RPHunter: Unveiling Rug Pull Schemes in Crypto Token via Code-and-Transaction Fusion Analysis
by: Wu, Hao, et al.
Published: (2025)

Testing the Fault-Tolerance of Multi-Sensor Fusion Perception in Autonomous Driving Systems
by: Tian, Haoxiang, et al.
Published: (2025)

Hate‐UDF: Explainable Hateful Meme Detection With Uncertainty‐Aware Dynamic Fusion
by: Xia Lei, et al.
Published: (2024)

PaP-NF: Probabilistic Long-Term Time Series Forecasting via Prefix-as-Prompt Reprogramming and Normalizing Flows
by: Kim, Minju, et al.
Published: (2026)

SVA-ICL: Improving LLM-based Software Vulnerability Assessment via In-Context Learning and Information Fusion
by: Gao, Chaoyang, et al.
Published: (2025)

Refining Fuzzed Crashing Inputs for Better Fault Diagnosis
by: Kim, Kieun, et al.
Published: (2025)

VP-AutoTest: A Virtual-Physical Fusion Autonomous Driving Testing Platform
by: Cui, Yiming, et al.
Published: (2025)

MuFF: Stable and Sensitive Post-training Mutation Testing for Deep Learning
by: Kim, Jinhan, et al.
Published: (2025)

New Formulation of DNN Statistical Mutation Killing for Ensuring Monotonicity: A Technical Report
by: Kim, Jinhan, et al.
Published: (2025)

Revisiting "Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterion": A Critical Review and Implications on DNN Coverage Testing
by: Kim, Jinhan, et al.
Published: (2026)

Fault Localisation and Repair for DL Systems: An Empirical Study with LLMs
by: Kim, Jinhan, et al.
Published: (2025)

AutoMPC: A Code Generator for MPC-based Automated Driving
by: Schildbach, Georg, et al.
Published: (2025)

A Low-Code Methodology for Developing AI Kiosks: a Case Study with the DIZEST Platform
by: Moon, SunMin, et al.
Published: (2025)

Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding
by: Di, Yifeng, et al.
Published: (2025)

Clotho: Measuring Task-Specific Pre-Generation Test Adequacy for LLM Inputs
by: Yoon, Juyeon, et al.
Published: (2025)

Taming the Beast: Fully Automated Unit Testing with Coyote C++
by: Rho, Sanghoon, et al.
Published: (2024)

Efficient space-time reduced order model for linear dynamical systems in Python using less than 120 lines of code
by: Kim, Youngkyu, et al.
Published: (2020)

PALM: Path-aware LLM-based Test Generation with Comprehension
by: Wu, Yaoxuan, et al.
Published: (2025)