Estimation of Azimuth Angle Using an Ultrasonic Sensor for Automobile by Vasantha Chandrasegar, Jinhwan Koh

“…Near-field motion detection systems and autonomous driving heavily rely on the ability to evaluate the azimuthal angle of objects in a vehicle’s surroundings using the Doppler Effect. …”
Get full text

Non-Maximum Suppression Performs Later in Multi-Object Tracking by Hong Liang, Ting Wu, Qian Zhang, Hui Zhou

“…Multi-object tracking aims to assign a uniform ID for the same target in continuous frames, which is widely used in autonomous driving, security monitoring, etc. In the previous work, the low-scoring box, which inevitably contained occluded target, was filtered by Non-Maximum Suppression (NMS) in a detection stage with a confidence threshold. …”
Get full text

Applications of smart agriculture for environmental protection using deep learning techniques by Zineb Remch, Samira Khoulji, Mohamed Larbi Kerkeb

“…Its potential is enormous and has already found practical applications in several fields, including autonomous driving, automatic speech recognition, medical research, image restoration, natural language processing, and, among others. …”
Get full text

TCN-SA: A Social Attention Network Based on Temporal Convolutional Network for Vehicle Trajectory Prediction by Qin Li, Bingguang Ou, Yifa Liang, Yong Wang, Xuan Yang, Linchao Li

“…Vehicle trajectory prediction can provide important support for intelligent transportation systems in areas such as autonomous driving, traffic control, and traffic flow optimization. …”
Get full text

A Comparative Study of Deep Learning Models for Recognition of Poisonous Foods for Dogs by Arthur Wang, Chiral Mehta, Daniel Hilal, James Kabugo

“…Convolutional neural network (CNN) models are widely applied in various areas including image classification, machine translation, autonomous driving, natural language processing, face recognition, recommendation systems, among others. …”
Get full text

Blind Spot Detection Radar System Design for Safe Driving of Smart Vehicles by Wantae Kim, Heejin Yang, Jinhong Kim

“…Recently, there has been extensive research and development in the field of smart cars, including technologies related to autonomous driving. Various industries are actively working towards creating efficient and safe self-driving cars. …”
Get full text

Potential impact of autonomous vehicles in mixed traffic from simulation using real traffic flow by Eleonora Andreotti, Selpi, Pinar Boyraz

“…The study highlights that the autonomous vehicles’ features that improve safety and efficiency in 100% autonomous and mixed traffic are different, and the ability of autonomous vehicles to switch between mixed and autonomous driving styles, and vice versa depending on the scenario, is necessary.…”
Get full text

PerfECT Design Tool: Electric Vehicle Modelling and Experimental Validation by Henrique de Carvalho Pinheiro

“…Beyond its primary application, the tool holds promise for broader utilization, including the development of active control systems, advanced driver assistance systems (ADAS), and solutions for autonomous driving within the domain of electric vehicles.…”
Get full text

Robustness Evaluation of Vehicle Localization in 3D Map Using Convergence of Scan Matching by Yuki Kitsukawa, Tatsuya Minami, Yudai Yamazaki, Junich Meguro, Eijiro Takeuchi, Yoshiki Ninomiya, Shinpei Kato, Masato Edahiro

“…ABSTRACT: Ego-vehicle localization is a critical technology in autonomous driving systems, and one of the widely used methods for localization is scan matching between a 3D map and real-time LiDAR scan. …”
Get full text

Adaptive Transmission Suspension of V2N Uplink Communication Based on In-Advanced Quality of Service Notification by Ryo Hasegawa, Eiji Okamoto

“…There are levels of automation in autonomous driving, and each level requires different performances of wireless communication, such as quality, delay time, and throughput. …”
Get full text

Using Quantum hybrid join prediction model to predict future trajectory motion during transit train movement by Bennet Prabhu, Balasundaram Muthukumar

“…Predicting future train motion from the yard to the main track via an autonomous driving train is an essential task in a terminal railway station. …”
Get full text

Comparative Analysis of 5G Mobile Communication Network Architectures by Woosik Lee, Eun Suk Suh, Woo Young Kwak, Hoon Han

“…Compared to previous generations, 5G has the capability to implement latency-critical services, such as autonomous driving, real-time AI on handheld devices and remote drone control. …”
Get full text

A feature enhancement FCOS algorithm for dynamic traffic object detection by Tuqiang Zhou, Wei Liu, Haoran Li

“…The development of object detection plays an important role in the realisation of fully autonomous driving, and the feature extraction is the key step for object detection. …”
Get full text

Integrity Monitoring of Multimodal Perception System for Vehicle Localization by Arjun Balakrishnan, Sergio Rodriguez Florez, Roger Reynaud

“…Autonomous driving systems tightly rely on the quality of the data from sensors for tasks such as localization and navigation. …”
Get full text

Online Self-Calibration of 3D Measurement Sensors Using a Voxel-Based Network by Jingyu Song, Joonwoong Lee

“…Multi-sensor fusion is important in the field of autonomous driving. A basic prerequisite for multi-sensor fusion is calibration between sensors. …”
Get full text

Non-line-of-sight imaging with arbitrary illumination and detection pattern by Xintong Liu, Jianyu Wang, Leping Xiao, Zuoqiang Shi, Xing Fu, Lingyun Qiu

“…Existing NLOS imaging algorithms require dense measurements at regular grid points in a large area of the relay surface, which severely hinders their availability to variable relay scenarios in practical applications such as robotic vision, autonomous driving, rescue operations and remote sensing. …”
Get full text

Pothole Detection Using Image Enhancement GAN and Object Detection Network by Habeeb Salaudeen, Erbuğ Çelebi

“…Many datasets used to train artificial intelligence systems to recognize potholes, such as the challenging sequences for autonomous driving (CCSAD) and the Pacific Northwest road (PNW) datasets, do not produce satisfactory results. …”
Get full text

A Maturity Model for Trustworthy AI Software Development by Seunghwan Cho, Ingyu Kim, Jinhan Kim, Honguk Woo, Wanseon Shin

“…Recently, AI software has been rapidly growing and is widely used in various industrial domains, such as finance, medicine, robotics, and autonomous driving. Unlike traditional software, in which developers need to define and implement specific functions and rules according to requirements, AI software learns these requirements by collecting and training relevant data. …”
Get full text

Point Cloud Classification by Domain Adaptation Using Recycling Max Pooling and Cutting Plane Identification by Hojin Yoo, Kyungkoo Jun

“…Deep models have been studied in point cloud classification for the applications of autonomous driving and robotics. One challenging issue is that the point cloud of the same object could be discrepantly captured depending on sensors. …”
Get full text

A synthetic digital city dataset for robustness and generalisation of depth estimation models by Jihao Li, Jincheng Hu, Yanjun Huang, Zheng Chen, Bingzhao Gao, Jingjing Jiang, Yuanjian Zhang

“…Instead of collecting data from the real world, we generate the SDCD under severe driving conditions with perfect observed data in the digital world, enhancing depth estimation for autonomous driving.…”
Get full text