Results 41 to 50 of about 95,328 (314)
Intelligent Environment Enabling Autonomous Driving
Automated driving is expected to enormously evolve the transportation industry and ecosystems. Advancement in communications and sensor technologies have further accelerated the realization process of the autonomous driving goals.
Manzoor Ahmed Khan
doaj +1 more source
Toward Feature-Based Low-Latency Localization With Rotating LiDARs
An accurate global position is often considered to be one of the main requirements for autonomous driving. Even though GNSS provides a solution, it is dependent on the environment and not accurate enough.
Lukas Beer +2 more
doaj +1 more source
Analysis and Modeling of Lane-Changing Game Strategy for Autonomous Driving Vehicles
Autonomous driving vehicles have some advantages, such as alleviating tasks of drivers and reducing carbon emissions. With the advancement of intelligent network connection technology, autonomous driving vehicles are showing a trend of practicality and ...
Dayi Qu +4 more
doaj +1 more source
FPGA accelerated model predictive control for autonomous driving [PDF]
Purpose – The purpose of this paper is to reduce the difficulty of model predictive control (MPC) deployment on FPGA so that researchers can make better use of FPGA technology for academic research.
Shulin Zeng +4 more
core +1 more source
ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola +4 more
wiley +1 more source
Integrated planning and control method for autonomous driving considering user’s steering style [PDF]
In response to the lack of adaptability to individual differences in driving style for autonomous vehicles, an integrated planning and control method for autonomous driving that considers user’s steering style is proposed.
Meng Wang +4 more
doaj +1 more source
Autonomous driving goes downtown
Most computer-vision systems for vehicle guidance are for highway scenarios. Developing autonomous or driver-assistance systems for complex urban traffic poses new algorithmic and system-architecture challenges. To address these issues, the authors introduce their intelligent Stop&Go system and discuss appropriate algorithms and approaches for vision ...
Uwe Franke +5 more
openaire +1 more source
A Survey on Deep Learning Based Approaches for Scene Understanding in Autonomous Driving
As a prerequisite for autonomous driving, scene understanding has attracted extensive research. With the rise of the convolutional neural network (CNN)-based deep learning technique, research on scene understanding has achieved significant progress. This
Hongjian Wei +4 more
core +1 more source
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
Level 2 driving automation requires continuous driver supervision, yet common attention metrics often capture gaze allocation rather than the structure of supervisory scanning.
Hanna Chouchane +5 more
doaj +1 more source

