Intelligent Vehicles
Description
This volume constitutes the revised selected papers of 3rd CCF Intelligent Vehicles Symposium, CIVS 2025, in Hangzhou, China, during August 16-18, 2025.
The 30 full papers were presented in this volume were carefully reviewed and selected from 60 submissions. This conference address challenging issues in autonomous driving, lidar, radar, camera, LLM, battery, motor, electronic control, charging technology, sensing, location, HD Maps, navigation, prediction, planning, control, Security, vehicular networking and communication, as well as the fundamentals and applications of computing.
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Content
.- Terrain Recognition for Unstructured Environments Using BiLSTM-Transformer Networks under Multi-domain E/E architecture.
.- String Stability for Lateral and Longitudinal Control of Electric Vehicle Platoons Using Stanley Algorithms.
.- Autonomous Vehicles Trajectory Tracking Control on Nonplanar Surfaces.
.- Reinforcement Learning improved Control Architecture for Following Vehicle in Platooning Driving.
.- Research Progress on Joint Calibration Technology of LiDAR And Camera.
.- A Review of Life-Long SLAM Systems.
.- Path planning of pear flower pollination robot arm based on DDPG.
.- DBL-Attack: Decision Boundary Loss-driven Adversarial Attack to Generate Transferable Traffic Object Point Clouds Using Factorized Random Perturbation.
.- Virtual-Real Fusion Testing for Autonomous Driving Based on AR + VI-SLAM.
.- From accident analysis to simulation validation: WeatherCore Dataset of complex environment for end-to-end autonomous vehicles.
.- Edge-Assisted Low-Overhead Cooperative Perception via Adaptive Vehicle Selection.
.- Point-Voxel Fusion with Adaptive Sectorized Points Sampling for 3D Object Detection.
.- BEV-SI: A Lightweight and Efficient Split-Inception Framework for Multi-Modal 3D Object Detection.
.- Reference Trajectory Optimization With Iterative Linear Quadratic Regulator Based on Spatio-Temporal Decision for Autonomous Driving.
.- The Effect of Sharing Situational Information on Reducing Driving Anger.
.- Integrating LLM and LDA for Text Mining of Electric Vehicle Maintenance Standards.
.- Dedicated Lanes for Intelligent and Connected Vehicles in Mixed Traffic.
.- AThree-Stage End-to-End Security Regulatory Model for High-Definition Map Data in Intelligent Connected Vehicles .
.- Neural Visual Odometry Based on Improved Detector-free Matching for Low-texture Environments.
.- Research on Vehicle Detection and Speed Measurement System for Smart Traffic Sandbox Based on YOLOv5s.
.- GRLFuzz: A Fuzz Testing Method for Optimizing Mutation Strategies Based on Reinforcement Learning.
.- Agricultural Data Visualization and Crop Economic Benefit Prediction Based on Ensemble Learning.
.- Robot path planning algorithm based on improved pure puresuit.
.- Chinese Long Text Address Resolution Algorithm based on Bert-GRU-CRF.
.- Hierarchical Attention-Guided MAE for Counterfactual Reasoning in Vulnerability Detection.
.- SAC-Based Strategy Solving for Reservoir Pollutant Source Tracing by AUV.
.- Throughput Maximization for Intelligent Reconfigurable Surface Enhanced Backscatter Communication System.
.- Spiking Neural Network-Based Signal Classification on Adversarial Example and Signal with Common Noise.
.- GEP-SN: A Lightweight Two-stage Method for Fatigue Driving Detection.
.- Vehicle Control Revolution under One-Pedal Driving in EVs: Kinetic Energy Recovery Systems Reshaping Driver-Vehicle Interaction.