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.
The goal of the study was to examine the effect of Corporate social responsibility on corporate performance of manufacturing firms from Balanced scorecard perspective.
Engineering 5.0 · Research 7.0 · Business 6.0
An autonomous driving research paper: Shape-Adaptive Colour-based Single Object Tracking with Occlusion Recovery.
Engineering 5.0 · Research 7.0 · Business 5.0
The highly competitive nature of the transportation industry has produced significant demand for increased equipment efficiency.
Engineering 5.0 · Research 7.0 · Business 5.0
This dissertation addresses several highly-critical issues in affective computing and agent architecture design including knowledge representation, motivation, emotion appraisal and affective decision making.
Engineering 5.0 · Research 7.0 · Business 5.0
Here, we present a planar anisotropic optoelectronic resistive random-access memory (AORRAM) device based on a ZnO nanowire array with an engineered axial defect gradient.
Engineering 5.0 · Research 7.0 · Business 5.0
The problem of path planning is one of the most crucial and challenging issues in the fields of intelligent systems and autonomous robotics.
Engineering 5.0 · Research 8.0 · Business 5.0
Agentic artificial intelligence has evolved from a research aspiration to a deployable technology between 2020 and 2025.
Engineering 5.0 · Research 7.5 · Business 5.0
This study examines how traditional automobile manufacturers reconfigure business model value logic during transformation toward digital mobility services in ecosystem contexts.
Engineering 5.0 · Research 7.0 · Business 5.0
Recent advancements have remarkably raised electric vehicles and their components, focusing primarily on energy management, optimization and advancements of the batteries, and self-directed driving technology.
Engineering 5.0 · Research 7.0 · Business 5.0
An autonomous driving research paper: A Lightweight Model-Based Method for Adversarial Purification in Autonomous Driving Segmentation.
Engineering 5.0 · Research 7.0 · Business 5.0
To address this challenge, we introduce an autonomous, agent-based framework powered by Large Language Models (LLMs) designed to excavate high-fidelity datasets from scientific PDFs without human intervention.
Engineering 5.0 · Research 7.5 · Business 5.0
Introduction Exploring the impacts between ecological compensation and herders’ income level, income diversity, and satisfaction yields valuable insights for refining ecological compensation policy and reconciling ecological conservation with livelihood sustainability.
Engineering 5.0 · Research 7.0 · Business 5.0
To address these issues, we propose a structure-aware enhanced DPT-Hybrid framework.
Engineering 5.0 · Research 7.0 · Business 5.0
In this study, we propose an LWIR spectral imaging chip that directly integrates hybrid metasurface filter arrays into an LWIR sensor, enabling chip-scale thermal spectral imaging across 8 to 12 μm.
Engineering 5.0 · Research 7.0 · Business 5.0
Objective Accurate and energy-efficient perception of road-surface markings is essential for Advanced Driver Assistance Systems (ADAS) and autonomous driving, particularly under real-time embedded constraints.
Engineering 5.5 · Research 7.0 · Business 6.5
As artificial intelligence and automated decision-making systems become deeply integrated into critical infrastructure, high-stakes finance, autonomous driving, and healthcare, ensuring their reliability and robustness is paramount.
Engineering 5.0 · Research 7.0 · Business 5.0
To address these limitations, we propose a Big Data-Driven Multi-Constraint Learning framework to generate safe driving action proxies derived from ego motion represented by steering and acceleration.
Engineering 6.0 · Research 7.0 · Business 5.0
Adaptive cruise control (ACC) is becoming increasingly common; however, many users still struggle to understand system states and interventions, which may hinder trust and acceptance.
Engineering 5.0 · Research 7.0 · Business 5.0
Heavy metal pollution (HMP) threatens soil ecosystems and plant health.
Engineering 5.0 · Research 7.0 · Business 5.0
An autonomous driving research paper: RSD-BEV: Residual Self-distillation Framework for Efficient BEV Representation Learning.
Engineering 5.0 · Research 7.0 · Business 5.0