Model Predictive Control based Adversarial Scenario generation Framework for Safety-Critical Dataset in Autonomous Driving

Lane-Set-Aware M2M-Inherited End-to-End Autonomous Driving Framework

Deep Learning-Based Local Path Planning for Autonomous Racing: Through Driving Data and Cost Function

Predictive Road Bump Detection via Personalized Data and Cloud-Based Continuous Learning for Preview Suspension Systems

Online Update of LiDAR-vehicle Calibration based on Fault Data Exclusion and Observable Data Balancing

Semantic Point Cloud-based Adaptive Multiple Object Detection and Tracking for Autonomous Vehicles

Impact of Integrating Multiple Middleware on Autonomous Driving Development and Performance

Uncertainty-Aware Multi-Camera to Vehicle Extrinsic Calibration via Hierarchical Factor Graph Optimization

Real-time Road Surface LiDAR SLAM based on Dead-Reckoning Assisted Registration

Dataset Generation Process for Enhancing Depth Estimation Network Performance in Autonomous Driving

Voxel-Pixel Fusion-based Point Cloud Semantic Segmentation using Camera and LiDAR for Autonomous Driving

Optimization of Software Component Allocation for Autonomous Car in Cloud - Vehicular Edge Environment

A Hierarchical Framework for Safety-First Mid-to-Mid Motion Planning in Learning-based Autonomous Driving

Lane Geometry-based Radar Multi-Object Tracking at Complex Intersections

Path Tracking Model Predictive Control with Online Time Delay and Actuator Lag Compensation for Autonomous Vehicle

Semantic Segmentation of Dynamic Objects based on Camera-LiDAR Fusion for Autonomous Vehicles

Hierarchical Framework of Interaction-aware Motion Prediction for Autonomous Car

Lite Point Cloud Semantic Segmentation for Autonomous Car Using LiDAR Synthetic Data