Analysis of Factors Contributing to Road Accidents in Penang, Malaysia
Road accidents in Malaysia impose significant public health and economic burdens.
Engineering 5.0 · Research 7.0 · Business 5.0
Autonomous Driving Papers with Code, Datasets and Engineering Notes
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.
Criminality in Nabiel Farouk's Novel Al-Maghmarah: Robert K. Merton's Anomie Study
In various countries, crime rates experience a significant increase every year, raising concerns about a continuing moral crisis.
Engineering 5.0 · Research 8.0 · Business 5.0
CBAM meets DropBlock: enhancing robot steering-angle prediction with hybrid attention and structured dropout
The prediction of steering-angle for robots in complex scenarios is crucial in intelligent auto-navigation process.
Engineering 5.5 · Research 7.0 · Business 5.0
Ego-centric congestion understanding from multi-camera traffic scenes: A benchmark dataset and graph reasoning approach for autonomous vehicles
An autonomous driving research paper: Ego-centric congestion understanding from multi-camera traffic scenes: A benchmark dataset and graph reasoning approach for autonomous vehicles.
Engineering 5.0 · Research 7.0 · Business 5.0
Robust target detection method against weather interference based on multisource sensor fusion
To address this issue, we propose SeparateFusion, a novel multisensor fusion framework that integrates four-dimensional (4D) millimeter-wave radar and LiDAR data via a deep neural network.
Engineering 5.0 · Research 8.0 · Business 5.0
SAFEDEC: Unifying Proprioceptive and Exteroceptive Sensing for Safe Autonomous Driving
An autonomous driving research paper: SAFEDEC: Unifying Proprioceptive and Exteroceptive Sensing for Safe Autonomous Driving.
Engineering 5.0 · Research 7.0 · Business 5.0
Unified Driving Tokens: Representation- and Geometry-Guided Discrete Tokenizer for Driving World Models and Planning
We present a representation-guided and geometry-enhanced tokenizer that learns discrete tokens under joint supervision.
Engineering 5.0 · Research 7.0 · Business 5.0
Hierarchically Decoupled Mixture-of-Experts for Robust Traffic Sign Recognition in Complex Driving Scenarios
To address this limitation, we propose CBDES MoE TSR, a hierarchically decoupled heterogeneous mixture-of-experts(MoE) framework for traffic sign recognition.
Engineering 5.0 · Research 7.0 · Business 5.0
Motion Planning in Dynamic Environments: A Survey from Classical to Modern Methods
This paper presents a comprehensive survey of 138 works, primarily published between 2015 and 2025, spanning both classical and learning-based approaches.
Engineering 5.0 · Research 7.0 · Business 5.0
Not All Points Are Equal: Uncertainty-Aware 4D LiDAR Scene Synthesis
We present U4D, a new framework that explicitly leverages spatial uncertainty to guide LiDAR scene generation in a "hard-to-easy" schedule.
Engineering 5.5 · Research 8.0 · Business 5.0
Multimodal Action Diffusion for Robust End-to-End Autonomous Driving
To validate this, we introduce the Action Diffusion Transformer (ADT), an anchor-free diffusion transformer trained with a MSE objective that natively models the multimodal distribution of plausible driving actions.
Engineering 5.5 · Research 8.0 · Business 5.0
PillarDETR: YOLO-Backbone and RT-DETR Head for Real-Time 3D Object Detection
In this paper, we propose PillarDETR, a novel end-to-end 3D object detection architecture that combines the efficiency of pillar-based LiDAR encoding with the representational power of modern 2D vision models.
Engineering 6.0 · Research 8.0 · Business 5.0
Factors influencing the intention to use AI-based voice assistants among students in Iraq (the role of infrastructure and cultural compatibility)
The Relationships among Intention to use VAI technologies by students in respect with the factors are described in this study.
Engineering 5.0 · Research 7.0 · Business 5.0
A dual-stream foreground-aware enhancement network with spiralscan-Mamba for vision-based occupancy prediction in autonomous driving
An autonomous driving research paper: A dual-stream foreground-aware enhancement network with spiralscan-Mamba for vision-based occupancy prediction in autonomous driving.
Engineering 5.0 · Research 7.0 · Business 5.0
Synthetic Data Generation for Computer Vision Tasks in SITL Systems with Unreal Engine and Airsim
Sustainable object detection, classification, and tracking are a critical path in robotics at per ception leg.
Engineering 5.5 · Research 7.0 · Business 5.5
Being “in the Know”: the Effectiveness of Organizational Instruments in Enhancing Employees’ Attention and Affective Commitment to Major Change
Abstract For a firm’s change initiative to succeed, its employees must be committed to its implementation.
Engineering 5.0 · Research 7.0 · Business 5.0
Explaining Failures of Cyber-Physical Systems with Actual Causality
Modern autonomous Cyber-Physical Systems (CPSs), such as self-driving cars, face increasingly complex demands, and yet are expected to act reliably.
Engineering 5.5 · Research 8.0 · Business 6.0
Building on Rented Land: An Interpretive Phenomenological Analysis of Black Women’s Digital Homeplace-Building on TikTok
This interpretative phenomenological analysis (IPA) examined the lived experiences of seven Black women TikTok users, exploring how they describe and make meaning of TikTok as a space of digital expression amid algorithmic constraint and platform precarity.
Engineering 5.0 · Research 7.0 · Business 5.0
From Grey Infrastructure to Ecological Void: A Study on the Dynamical Time Density Structure of “Taigyoun Space” in Autonomous Driving Environments
An autonomous driving research paper: From Grey Infrastructure to Ecological Void: A Study on the Dynamical Time Density Structure of “Taigyoun Space” in Autonomous Driving Environments.
Engineering 5.0 · Research 7.0 · Business 5.0
COIN: Collaborative interaction-aware multi-agent reinforce-ment learning for self-driving systems
To address this challenge, we propose a novel collaborative (CO-) interaction-aware (-IN) MARL framework, named COIN.
Engineering 7.5 · Research 8.0 · Business 5.5