Browse curated autonomous driving papers on end-to-end driving, BEV perception, 3D object detection, motion prediction, path planning, ADAS, Tesla FSD, Waymo, and self-driving foundation models.
To address these issues, we propose an Adaptive Multi-Scale Fusion Lightweight Network (AMSFNet) based on YOLOv11.
Engineering 5.5 · Research 7.0 · Business 6.0
An autonomous driving research paper: Driving Strategy Development for a Two-Motor Extended-Range Electric Vehicle Using Reinforcement Learning.
Engineering 5.0 · Research 7.0 · Business 6.0
We are living through an era of unprecedented data-driven regulatory transformation.
Engineering 5.0 · Research 7.0 · Business 5.0
Background Depression is a prevalent psychological issue among chronic kidney disease (CKD) patients.
Engineering 5.0 · Research 7.0 · Business 5.0
An autonomous driving research paper: A unified tort liability framework for cross-modal land-sea-air autonomous transportation systems.
Engineering 5.0 · Research 7.0 · Business 5.0
Monitoring under uncertainty with DisTL — Case Study Artifact This repository contains the implementation and experimental material for the autonomous-driving case study presented in “Monitoring under uncertainty with DisTL”, accepted at Runtime Verification 2026.
Engineering 6.5 · Research 7.0 · Business 5.0
param_management is a library for handling the large number of parameters in autonomous driving software without making the algorithm code depend on ROS 2.
Engineering 5.0 · Research 7.0 · Business 5.0
Chimeric antigen receptor (CAR) T-cell therapy has revolutionized oncology, and its foundational logic-precise antigen recognition coupled with durable effector activity-extends naturally to chronic non-malignant diseases sustained by long-lived pathological cells.
Engineering 5.0 · Research 7.0 · Business 5.0
This study aims to design a transformative Islamic Religious Education (PAI) pedagogical model integrating Al-Ishlah (self-improvement) and Al-Taghyir (fundamental transformation) values to address the academic burnout phenomenon among university students in Indonesia.
Engineering 5.0 · Research 8.0 · Business 5.0
To this end, it applies DERIO, a dynamic econometric New Keynesian Input-Output model, designed to evaluate the economic effects of scenarios and policies at regional level, particularly those related to energy and climate change.
Engineering 5.0 · Research 7.0 · Business 6.0
Introduction Electric vehicles (EVs) are rapidly gaining popularity and global recognition, driven by their reliability, flexibility, simplicity, and scalability.
Engineering 5.5 · Research 8.0 · Business 6.0
We present a conceptual framework for Collaborative Joint Perception and Prediction (Co-P&P) that improves motion prediction of surrounding road users, thereby enhancing situational awareness in complex and dynamic traffic environments.
Engineering 6.0 · Research 7.0 · Business 6.0
To address these limitations, we propose FactorDrive, an end-to-end autonomous driving framework for adaptive multi-step reasoning driven by planning-critical factors (PCFs).
Engineering 6.0 · Research 8.0 · Business 5.0
To address these challenges, we propose UnsDrive, an end-to-end planner designed for unstructured mining scenes.
Engineering 5.5 · Research 8.0 · Business 5.0
To address this limitation, we propose CRUISE, a novel uncertainty-aware cross-modal sensor fusion framework.
Engineering 5.5 · Research 8.0 · Business 5.5
In this paper, we propose a new efficient human-contact representation for human-scene interaction.
Engineering 5.0 · Research 8.0 · Business 5.0
To address these challenges, we propose DH-VLM, a dual-horizon cooperative latent reasoning framework that enables asymmetric semantic cooperation between the infrastructure and ego vehicle.
Engineering 6.0 · Research 8.0 · Business 6.0
Introduction: Approximately 20% of the United States population resides in a rural community; however, only 10% of all healthcare resources and physicians are dedicated to these areas.
Engineering 5.0 · Research 7.0 · Business 5.0
Monocular 3D object detection spans two regimes: closed-set detectors operating within a fixed category vocabulary, and open-vocabulary detectors that localize arbitrary categories by leveraging depth foundation models for 3D geometry.
Engineering 5.5 · Research 8.5 · Business 5.0
Macaron-V1 is an open agent-model family for experiential intelligence: learning from experience in real environments and continuing to learn after deployment.
Engineering 5.5 · Research 7.0 · Business 6.0