Class binarization to neuroevolution for multiclass classification
Multiclass classification is a fundamental and challenging task in machine learning. The
existing techniques of multiclass classification can be categorized as (1) decomposition into …
existing techniques of multiclass classification can be categorized as (1) decomposition into …
Tensorized neuroevolution of augmenting topologies for GPU acceleration
The NeuroEvolution of Augmenting Topologies (NEAT) algorithm has received considerable
recognition in the field of neuroevolution. Its effectiveness is derived from initiating with …
recognition in the field of neuroevolution. Its effectiveness is derived from initiating with …
Automatic parking planning control method based on improved A* algorithm
Y Zhao - arxiv preprint arxiv:2406.15429, 2024 - arxiv.org
As the trend of moving away from high-precision maps gradually emerges in the
autonomous driving industry, traditional planning algorithms are gradually exposing some …
autonomous driving industry, traditional planning algorithms are gradually exposing some …
Deep Reinforcement Learning for Adverse Garage Scenario Generation
K Li - arxiv preprint arxiv:2407.01333, 2024 - arxiv.org
Autonomous vehicles need to travel over 11 billion miles to ensure their safety. Therefore,
the importance of simulation testing before real-world testing is self-evident. In recent years …
the importance of simulation testing before real-world testing is self-evident. In recent years …
Vehicle-road cooperative simulation and 3D visualization system
D Wu - arxiv preprint arxiv:2208.07304, 2022 - arxiv.org
The safety of single-vehicle autonomous driving technology is limited due to the limits of
perception capability of on-board sensors. In contrast, vehicle-road collaboration technology …
perception capability of on-board sensors. In contrast, vehicle-road collaboration technology …
Research on Reliable and Safe Occupancy Grid Prediction in Underground Parking Lots
JQ Luo - arxiv preprint arxiv:2407.02197, 2024 - arxiv.org
Against the backdrop of advancing science and technology, autonomous vehicle technology
has emerged as a focal point of intense scrutiny within the academic community …
has emerged as a focal point of intense scrutiny within the academic community …
Automated Parking Planning with Vision-Based BEV Approach
Y Zhao - arxiv preprint arxiv:2406.15430, 2024 - arxiv.org
Automated Valet Parking (AVP) is a crucial component of advanced autonomous driving
systems, focusing on the endpoint task within the" human-vehicle interaction" process to …
systems, focusing on the endpoint task within the" human-vehicle interaction" process to …
Evaluation and Optimization of Rendering Techniques for Autonomous Driving Simulation
C Wang, C Xu, P Wu - arxiv preprint arxiv:2306.15176, 2023 - arxiv.org
In order to meet the demand for higher scene rendering quality from some autonomous
driving teams (such as those focused on CV), we have decided to use an offline simulation …
driving teams (such as those focused on CV), we have decided to use an offline simulation …
Development of Occupancy Prediction Algorithm for Underground Parking Lots
S Wang - arxiv preprint arxiv:2409.00923, 2024 - arxiv.org
The core objective of this study is to address the perception challenges faced by
autonomous driving in adverse environments like basements. Initially, this paper …
autonomous driving in adverse environments like basements. Initially, this paper …
Acceleration method for generating perception failure scenarios based on editing Markov process
C Cai - arxiv preprint arxiv:2407.00980, 2024 - arxiv.org
With the rapid advancement of autonomous driving technology, self-driving cars have
become a central focus in the development of future transportation systems. Scenario …
become a central focus in the development of future transportation systems. Scenario …