Results 31 to 40 of about 470,864 (273)

Driving Scene Perception Network: Real-time Joint Detection, Depth Estimation and Semantic Segmentation

, 2018
As the demand for enabling high-level autonomous driving has increased in recent years and visual perception is one of the critical features to enable fully autonomous driving, in this paper, we introduce an efficient approach for simultaneous object ...
Chen, Liangfu, Luo, Zheng, Ma, Jianjun, Yang, Zeng   +3 more
core   +1 more source

Toward Feature-Based Low-Latency Localization With Rotating LiDARs

IEEE Journal of Indoor and Seamless Positioning and Navigation
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, Thorsten Luettel, Mirko Maehlisch   +2 more
doaj   +1 more source

Estimation of Vehicle Attitude, Acceleration, and Angular Velocity Using Convolutional Neural Network and Dual Extended Kalman Filter

Sensors, 2021
The acceleration of a vehicle is important information in vehicle states. The vehicle acceleration is measured by an inertial measurement unit (IMU). However, gravity affects the IMU when there is a transition in vehicle attitude; thus, the IMU produces ...
Minseok Ok, Sungsuk Ok, Jahng Hyon Park
doaj   +1 more source

Virtual to Real Reinforcement Learning for Autonomous Driving

, 2017
Reinforcement learning is considered as a promising direction for driving policy learning. However, training autonomous driving vehicle with reinforcement learning in real environment involves non-affordable trial-and-error. It is more desirable to first
Lu, Cewu, Pan, Xinlei, Wang, Ziyan, You, Yurong   +3 more
core   +1 more source

Analysis and Modeling of Lane-Changing Game Strategy for Autonomous Driving Vehicles

IEEE Access, 2022
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, Kekun Zhang, Hui Song, Yanfeng Jia, Shouchen Dai   +4 more
doaj   +1 more source

WiseMove: A Framework for Safe Deep Reinforcement Learning for Autonomous Driving

, 2019
Machine learning can provide efficient solutions to the complex problems encountered in autonomous driving, but ensuring their safety remains a challenge.
Balakrishnan, Aravind, Czarnecki, Krzysztof, Gaurav, Ashish, Lee, Jaeyoung, Sedwards, Sean   +4 more
core   +1 more source

Autonomous driving goes downtown

IEEE Intelligent Systems, 1998
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, Dariu Gavrila, Steffen Görzig, Frank Lindner, Frank Paetzold, Christian Wöhler   +5 more
openaire   +1 more source

Why and When Are Evidence‐Based Interventions Adopted in Paediatric Supportive Care? A Qualitative Exploration of the Determinants of Photobiomodulation Implementation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie, Kara A. Gray‐Burrows, Peter F. Day, Bob Phillips, Carl A. Thompson   +4 more
wiley   +1 more source

Integrated planning and control method for autonomous driving considering user’s steering style [PDF]

Archives of Control Sciences
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, Juexuan Hen, Xue Lv, Shiyun Zhu, Shengping Dai   +4 more
doaj   +1 more source

Agile Autonomous Driving using End-to-End Deep Imitation Learning

, 2019
We present an end-to-end imitation learning system for agile, off-road autonomous driving using only low-cost sensors. By imitating a model predictive controller equipped with advanced sensors, we train a deep neural network control policy to map raw ...
Boots, Byron, Cheng, Ching-An, Lee, Keuntaek, Pan, Yunpeng, Saigol, Kamil, Theodorou, Evangelos, Yan, Xinyan   +6 more
core   +1 more source