Results 61 to 70 of about 25,584 (170)
Collaborative Visual Localization for Modular Self‐Reconfigurable Robots
Relative localization in modular self‐reconfigurable robots is challenged by hardware limitations, constrained fields of view, and sensor faults. This paper, based on the SnailBot platform, presents a vision‐based collaborative localization method that combines ArUco markers with learning‐based algorithms to enable robust pose estimation from ...
Guanqi Liang +4 more
wiley +1 more source
An Edge-Computing-Based Emotion-Aware Adaptive Lighting System for Intelligent Cockpits
As intelligent cockpits transition into the “third living space”, traditional driver monitoring systems face limitations such as rigid monitoring, computationally intensive algorithms, and insufficient engineering robustness.
Lei He, Ning Jia, Jiaqi Zhao
doaj +1 more source
Inspired by the Mexican jumping bean, this study presents a centimeter‐scale, electronics‐free robot that merges principles from both the animal and plant kingdoms. A thermo‐responsive actuator mimicking larval motion, enclosed within a uniquely shaped plant‐seed‐inspired shell, generates jumping, rolling, flipping, sliding, and climbing through ...
Ragesh Chellattoan +3 more
wiley +1 more source
Analysis of Composite Chassis [PDF]
This report is the result of a bachelor thesis focusing on the chassis of a Formula Student race car. The main goal of the project is to achieve a guide of how to design the perfect chassis.
Khokar, Aneesh +5 more
core +1 more source
Construction and application of a digital-twin climate wind tunnel model
A high-fidelity digital-twin (DT) model of an automotive climate wind tunnel is developed in this study to enable reliable and efficient investigations of vehicle thermal behavior under high-temperature and strong-radiation conditions.
Yingchao Zhang +6 more
doaj +1 more source
Multi‐Stage Social Value Orientation‐Based Lane‐Changing Driving for Autonomous Vehicles
A multi‐stage SVO framework is developed to dynamically infer the social preferences of surrounding vehicles from human driving data. By combining offline learning, online SVO estimation, temporal intention tracking, and interaction‐aware planning, the framework enables autonomous vehicles to adapt lane‐changing decisions and trajectories to evolving ...
Nongrui Qin +4 more
wiley +1 more source
Using innovative forming technologies allows the realization of chassis and frame design new design and at the same time to reduce weight and ...
Werner, Markus
core +1 more source
The increasing demand for energy efficient electric cars, in the automotive sector, entails the need for improvement of their structures, especially the chassis, because of its multifaceted role on the vehicle dynamic behaviour.
Evangelos Ch. Tsirogiannis +2 more
doaj +1 more source
Reliable prediction of structural vulnerability under complex multiaxial loading remains challenging due to nonlinear load couplings, imbalanced failure-critical samples, and limited model interpretability.
Gaofeng Zhang +8 more
doaj +1 more source
Multi-Energy-Microgrid Energy Management Strategy Optimisation Using Deep Learning
Renewable power generation is unpredictable due to its intermittency, making grid-connected microgrids difficult to operate, control, and manage. Currently used prediction models for electricity, heat, gas, and hydrogen multi-energy complementary ...
Wenyuan Sun +4 more
doaj +1 more source

