Autonomous driving: cognitive construction and situation understanding
Autonomous vehicle is a kind of typical complex artificial intelligence system. In current
research of autonomous driving, the most widely adopted technique is to use a basic …
research of autonomous driving, the most widely adopted technique is to use a basic …
A novel integrated simulation and testing platform for self-driving cars with hardware in the loop
Effective simulation and testing environment is a vital part in the research of self-driving
vehicles. It is capable of testing self-driving software and hardware quickly in a variety of …
vehicles. It is capable of testing self-driving software and hardware quickly in a variety of …
Autonomous vehicle testing and validation platform: Integrated simulation system with hardware in the loop
With the development of autonomous driving, offline testing remains an important process
allowing low-cost and efficient validation of vehicle performance and vehicle control …
allowing low-cost and efficient validation of vehicle performance and vehicle control …
SaccadeFork: A lightweight multi-sensor fusion-based target detector
Z Ouyang, J Cui, X Dong, Y Li, J Niu - Information Fusion, 2022 - Elsevier
Commercialization of self-driving applications requires precision and reliability of the
perception system due to the highly dynamic and complex road environment. Early …
perception system due to the highly dynamic and complex road environment. Early …
Model-based decision making with imagination for autonomous parking
Autonomous parking technology is a key concept within autonomous driving research. This
paper will propose an imaginative autonomous parking algorithm to solve issues concerned …
paper will propose an imaginative autonomous parking algorithm to solve issues concerned …
A novel approach for detecting road based on two-stream fusion fully convolutional network
Road detection is one of the most basic tasks of autonomous driving systems. At present,
researches on this issue mainly take two kinds of data as input, ie, LIDAR point clouds and …
researches on this issue mainly take two kinds of data as input, ie, LIDAR point clouds and …
Lane detection algorithm based on Hough transform for high-speed self driving vehicles
H Park - International Journal of Web and Grid Services, 2019 - inderscienceonline.com
This study proposes a lane detection method based on expressway driving videos through a
computer vision-based image processing system without using sensors. Both straight and …
computer vision-based image processing system without using sensors. Both straight and …
[HTML][HTML] Generation of lane-level road networks based on a trajectory-similarity-join pruning strategy
L Zheng, H Song, B Li, H Zhang - ISPRS International Journal of Geo …, 2019 - mdpi.com
With the development of autonomous driving, lane-level maps have attracted significant
attention. Since the lane-level road network is an important part of the lane-level map, the …
attention. Since the lane-level road network is an important part of the lane-level map, the …
Implementation of lane detection algorithm for self-driving vehicles using tensor flow
H Park - Innovative Mobile and Internet Services in Ubiquitous …, 2019 - Springer
Recently, systems for detecting and tracking moving objects from video are gaining research
interest in the field of image processing, owing to their applications in fields such as security …
interest in the field of image processing, owing to their applications in fields such as security …
An Autonomous Driving model with BEV-V2X Perception, Trajectory Prediction and Driving Planning in Complex Traffic Intersections
F Li, O Lin, K Gao, Y Li - arXiv preprint arXiv:2312.05104, 2023 - arxiv.org
The comprehensiveness of vehicle-to-everything (V2X) recognition enriches and holistically
shapes the global Birds-Eye-View (BEV) perception, incorporating rich semantics and …
shapes the global Birds-Eye-View (BEV) perception, incorporating rich semantics and …