Object detection using machine learning techniques by Hu, Xiaoxiang

“…However, with the development of autonomous driving technology, new requirements for object detection task are raised as well. …”
Get full text

Control of autonomous vehicles in drifting and executing evasive maneuvers by Yunan, Emily Fatima

“…A typical driver may lack the skills to properly control a vehicle under tire saturation, but with the advancement of autonomous driving systems, the control task of stabilizing a drifting car can be delegated to an intelligent control algorithm, thus opening up new control possibilities in these operating regimes. …”
Get full text

Domain adaption for semantic segmentation by Saklani Pankaj

“…It allows for greater sense of image understanding, allows for it to have a wide variety of application spanning from medical image processing to autonomous driving, which would be the focus of the project. …”
Get full text

Human trajectory prediction based on multi-sensor fusion by Qiu, Wenyuan

“…Since the beginning of the 21st century, the robotic technology and the market of autonomous driving have been widely developed. It is expected that the autonomous vehicle can analyze the behavior of the pedestrian and predict their future trajectory in order to plan its own behavior safely and efficiently. …”
Get full text

Mining the automotive industry: A network analysis of corporate positioning and technological trends by Stoehr, N, Braesemann, F, Frommelt, M, Zhou, S

“…We tag web pages concerned with topics like e-mobility & environment or autonomous driving, and investigate their relevance in the network. …”

Tiny people pose by Neumann, L, Vedaldi, A

“…This is relevant when interpreting people at a distance, which is important in applications such as autonomous driving and surveillance in crowds. Addressing this challenge, which has received little attention so far, can inspire modifications of traditional deep learning approaches that are likely to be applicable well beyond the case of pose recognition. …”

Geometry-aware video object detection for static cameras by Xu, D, Xie, W, Zisserman, A

“…Third, we validate the proposed architectures on an autonomous driving dataset generated from the Carla simulator [5], and on a real dataset for human detection (DukeMTMC dataset [28]). …”

Selective sensor fusion for neural visual-inertial odometry by Chen, C, Rosa, S, Miao, Y, Lu, CX, Wu, W, Markham, A, Trigoni, N

“…We present a thorough investigation on the performances on three public autonomous driving, Micro Aerial Vehicle (MAV) and hand-held VIO datasets. …”

Reading between the lanes: Road layout reconstruction from partially segmented scenes by Kunze, L, Bruls, T, Suleymanov, T, Newman, P

“…By generating an interpretable representation of road scenes and linking it to background knowledge, we believe that this approach provides a vital step towards explainable and auditable models for planning and decision making in the context of autonomous driving.</p>…”

Application of sampling-based motion planning algorithms in autonomous vehicle navigation by Khaksar, Weria, Mohamed Sahari, Khairul Salleh, Tang, Sai Hong

“…With the development of the autonomous driving technology, the autonomous vehicle has become one of the key issues for supporting our daily life and economical activities. …”
Get full text

Joint Soft–Hard Attention for Self-Supervised Monocular Depth Estimation by Chao Fan, Zhenyu Yin, Fulong Xu, Anying Chai, Feiqing Zhang

“…Although monocular self-supervised methods can obtain dense depths, the estimation accuracy needs to be further improved for better applications in scenarios such as autonomous driving and robot perception. In this paper, we innovatively combine soft attention and hard attention with two new ideas to improve self-supervised monocular depth estimation: (1) a soft attention module and (2) a hard attention strategy. …”
Get full text

Towards Autonomous Agriculture: Automatic Ground Detection Using Trinocular Stereovision by Annalisa Milella, Giulio Reina

“…Autonomous driving is a challenging problem, particularly when the domain is unstructured, as in an outdoor agricultural setting. …”
Get full text

A Deep Reinforcement Learning Strategy for Surrounding Vehicles-Based Lane-Keeping Control by Jihun Kim, Sanghoon Park, Jeesu Kim, Jinwoo Yoo

“…With drivers increasingly relying on autonomous driving technologies, the importance of safety features, such as fail-safe mechanisms in the event of sensor failures, has gained prominence. …”
Get full text

Extracting road maps from high-resolution satellite imagery using refined DSE-LinkNet by Prativa Das, Satish Chand

“…Road detection and extraction have gained momentum in recent past years with crucial applications such as urban planning, autonomous driving, automated map update, providing aid to rescue missions, etc. …”
Get full text

Path-Planning Strategy for Lane Changing Based on Adaptive-Grid Risk-Fields of Autonomous Vehicles by Zhengcai Yang, Yunzhong Hu, Youbing Zhang

“…The quantification and effective representation of safety risks for scenarios in structured road traffic environments of autonomous driving are currently being investigated in an active way. …”
Get full text

ECO Driving Control for Intelligent Electric Vehicle with Real-Time Energy by Hongli He, Dan Liu, Xiangyang Lu, Juncai Xu

“…In the future, as one of intelligent vehicles’ autonomous driving control strategies, the results have guiding and practical significance.…”
Get full text

A Two-Stage Data Association Approach for 3D Multi-Object Tracking by Minh-Quan Dao, Vincent Frémont

“…Multi-Object Tracking (MOT) is an integral part of any autonomous driving pipelines because it produces trajectories of other moving objects in the scene and predicts their future motion. …”
Get full text

Tightly-Coupled Vehicle Positioning Method at Intersections Aided by UWB by Huaikun Gao, Xu Li

“…Reliable and precise vehicle positioning is essential for most intelligent transportation applications as well as autonomous driving. Due to satellite signal blocking, it can be challenging to achieve continuous lane-level positioning in GPS-denied environments such as urban canyons and crossroads. …”
Get full text

A High-Quality Hybrid Mapping Model Based on Averaging Dense Sampling Parameters by Fanxiao Yi, Weishi Li, Mengjie Huang, Yingchang Du, Lei Ye

“…Navigation map generation based on remote sensing images is crucial in fields such as autonomous driving and geographic surveying. Style transfer is an effective method for obtaining a navigation map of the current environment. …”
Get full text

Design of Zonal E/E Architectures in Vehicles Using a Coupled Approach of k-Means Clustering and Dijkstra’s Algorithm by Jonas Maier, Hans-Christian Reuss

“…Electromobility and autonomous driving has started a transformation in the automotive industry, resulting in new requirements for vehicle systems. …”
Get full text