Anomaly detection for autonomous driving vehicles by Chen, Kuilin

“…The simulation platform, Carla, is developed for autonomous driving development and validation with good performance. …”
Get full text

Deep-learning-based 3D driver pose estimation for autonomous driving by Cao, Xiao

“…The application of human-machine interaction technology, especially human body estimation, in autonomous driving is important to facilitate drivers to drive safely and smoothly. …”
Get full text

Cut-in against the other lane-changing: behaviors analysis and model establishing by Zheng, Dejiang

Subjects: Get full text

Data driven interaction-aware trajectory prediction for urban driving by Hu, Zongyao

“…As an important tool to promote the development of intelligent transportation systems, autonomous driving can effectively reduce human-induced traffic accidents, relieve traffic congestion, and reduce environmental pressure under certain conditions. …”
Get full text

3D object detection from point cloud by Yin, Xiangyu

“…With the rapid developments in deep learning, autonomous driving become feasible and increasingly it has been applied well in real time system. …”
Get full text

Instance segmentation for roadside objects using a simulation environment by Wang, Sijie

“…In the autonomous driving system, the understanding of traffic is always an important task. …”
Get full text

Object depth estimation from single image by Long, Zhongtian

“…Therefore, depth estimation is an important visual task in autonomous driving. The method of monocular[2] depth estimation is to estimate the depth from a single or a series of visible light photos taken simultaneously in the same scene. …”
Get full text

Numerical analysis of beam steering for Si-photonics-LiDAR by Chen, Yiru

“…This technology has a wide application potential in modern autonomous driving, robot navigation, and UAV obstacle avoidance. …”
Get full text

Robust day and night object detection based on heterogeneous sensors and information fusion by Yun, Yanpu

“…Object detection and localization is now an important component in autonomous driving-related applications, in which the technology based on traditional RGB cameras has become increasingly mature. …”
Get full text

Deep learning-based interest point detector for 3D point clouds by Wang, Xiaoyue

“…These detected keypoints play essential roles in many autonomous driving and robotics applications such as 3D point cloud-based odometry, place recognition, or 3D point cloud-based localization. …”
Get full text

Evaluation of current vehicle lane-changing prediction methods by Liu, Tian

“…This dissertation mainly focuses on applying various algorithms to predict vehicle lane changing behavior, an important part of autonomous driving which attempts to achieve intelligent transportation and society. …”
Get full text

TinyNAD: tiny network with augmentation and distillation on point cloud learning model by Yang, Zhiyuan

“…The development of practical applications, such as autonomous driving and robotics, has brought 3D point cloud data from LiDAR or RGB-D cameras to work as a good supplement to the sense of the environment than pure images. …”
Get full text

ORB-SLAM3-YOLOv3 : a visual SLAM based on deep learning for dynamic environments by Chen, Peiyu

“…With the rapid development of artificial intelligence, robots, and autonomous driving technologies, visual SLAM technology has received extensive attention from research communities. …”
Get full text

Learning multi-modal scale-aware attentions for efficient and robust road segmentation by Zhou, Yunjiao

“…Multi-modal fusion has proven to be beneficial to road segmentation in autonomous driving, where depth is commonly used as complementary data for RGB images to provide robust 3D geometry information. …”
Get full text

Automotive Ethernet switch scan wrapper chain design by Park, Chan Hyeon

“…Since the automotive industry is facing unprecedented changes due to electric vehicles and autonomous driving cars, there is strong thirst for automotive semiconductors with extremely high reliability for utmost safety. …”
Get full text

Mobile robot path planning algorithm research by Duan,Yibing

“…In recent years, the autonomous driving field and UAV technology have developed fast, path planning algorithms have become a popular research topic. …”
Get full text

A unified and convenient extrinsic calibration method for RGB camera, thermal camera, LiDAR and radar by Zhang, Fangwei

“…With the continuous advancement of autonomous driving technology, sensor ex trinsic calibration, as an indispensable part of it, has attracted significant at tention. …”
Get full text

Robust 3D reconstruction in adverse condition by Xiao, Renxiang

“…Image-based 3D reconstruction is a method of extracting 3D information of a scene from multiple pictures and reconstructing a 3D model of the scene. 3D reconstruction technology has a wide range of applications in autonomous driving, virtual reality, smart home, cultural relic reconstruction and other fields. …”
Get full text

3D modelling and aerodynamics analysis of an autonomous mini shuttle bus by Xu, Dishu

“…As the proliferation of autonomous driving vehicles continues, ensuring their safe operation under varying environmental conditions, particularly concerning mass transit autonomous buses, becomes imperative. …”
Get full text

Study of photodetector for the application of autonomous vehicles by Sun, Yue

“…At present, the field of autonomous driving is facing great environmental uncertainty, so the application of terahertz technology can be well implanted. …”
Get full text