In order to solve the local path planning of self-driving car in structured road environment, an improved algorithm named Regional-Sampling RRT (RS-RRT) was proposed for obstacle avoidance conditions. Gaussian distribution sampling and biasing were integrated improve search efficiency phase. expansion phase, considering actual size vehicle obstacles, combined with goal safety comfort, separating axis theorem (SAT) method dynamics used detect collision among surrounding obstacles real time....

Recent code large language models (LLMs) have shown promising performance in generating standalone functions but face limitations repository-level generation due to their lack of awareness dependencies (e.g., user-defined attributes), resulting dependency errors such as undefined-variable and no-member errors. In this work, we introduce ToolGen, an approach that integrates autocompletion tools into the LLM process address these dependencies. ToolGen comprises two main phases: Trigger...

Longitudinal vehicle platoon control has attracted much attention due to its potential for significantly mitigating traffic congestion, reducing the incidence of accidents and improving fuel economy. To include motion in two‐dimensional situations, this study proposes a lateral system considering dynamic characteristics enhancing traditional longitudinal (one‐dimensional). The strategies are applied into two specific driving conditions: moving parallel order which representative applications...

The decision-making system of intelligent vehicles is the core component an advanced driving for both passenger and commercial vehicles. Finding ways to improve strategies suit complex unfamiliar environments a standing problem traditional rule-based methods. This paper proposes semi-rule-based strategy heavy based on Deep Deterministic Policy Gradient algorithm. Firstly, according car-following characteristics, problems high dimensions large amount data in vehicle action space state are...

The four-wheel independently driven and steered electric vehicle is a promising model having strong potential for handling stability, flexibility, consumption reduction. However, failure of the actuators 4WIS/4WID vehicles could lead to performance reduction dangerous accidents owing their complex system. A fault-tolerant control approach adopted in integrated chassis controller such that autonomously maintains its safety stability while actuator failures occur. linear quadratic regulator...

The incipient fault identification of rolling bearings is great significance in avoiding the occurrence malignant accidents rotating machinery. However, at early stages fault-related features are weak and easily contaminated by environmental noise, making them difficult to identify traditional methods. Hence, this paper, a new optimized Fourier spectrum decomposition method, termed bandwidth (BFD), proposed for detection bearings. Firstly, BFD vibration signal adaptively decomposed into...

Game theory has been extensively studied in recent years for its potential benefits on solving interactions between autonomous vehicles platoon control. In this article, we propose two behavioral decision-making approach based non-cooperative game with both the complete information and incomplete cooperative vehicle systems. The payoff function takes platooning performances of economy, comfort, safety, further achieving self-driving functions into consideration. For driving situations...

Aiming at the problem that traditional ant colony algorithm (ACO) has poor solution quality in dynamic path planning process, this paper proposes an improved ACO. Firstly, genetic operator fused with ACO is proposed, and operation used to expand search space of solution. Secondly, fitness function introduced safety distance added. The pros cons comprehensive evaluation path. Then, by introducing optimization operator, redundant nodes are eliminated smoothness improved. Finally, simulation...

We present the network architecture of Alibaba Cloud DCs and investigate their traffic characteristics based on statistical data captured traces. The coarse-grained are in granularity one minute, while traces fine-grained that packet. study features from perspective a macroscopic view, performance, microscopic view. results report average utilization ratio spine switches is stable when observation time period reaches day intra-ToR range 2%–10%. By mapping folded-Clos topology to tree...

Recently, spacing policies of the vehicular platoon have been widely developed to enhance safety, traffic efficiency, and fuel consumption. However, integrated aim maximum overall benefit, distributed intense get optimal monomer benefit. Ignoring fairness benefit allocation each vehicle will reduce motivation constitute platoon. To fill this critical gap, study proposes a method by treating decisions as cooperative games. A flock’s model which is used be payoff function introduced based on...

In the research of singular signal detection, selection wavelet function is first issue to be considered.How choose for detection emphasized in this paper.It's based on fact that can perfectly selected by comprehensive considering characteristics function, such as compact support, regularity and vanishing moments.The simulation presented illustrate validity feasibility method.

The real-time seed-metering device performance detection is one of key techniques to ensure operation quality a planter. A crossed E-shape plate capacitance sensor, parallel-plate sensor and differential tri-plate are proposed test corn-seed flow. concept structure parameters presented. An adjustable stand designed investigate the impact seed velocity on outputs sensors. sensitivity feasibility 3 sensors studied by detecting variations at different speeds. Experimental results show that,...

This paper presents a receding horizon controller for path following problem of wheeled mobile robot. In general, suitable terminal penalty and region are adopted to guarantee the recursive feasibility optimization asymptotic convergence reference path, but they usually difficult be calculated online often prepared offline. However, we can avoid this complex calculation by using as special case study. Sufficient conditions on proposed scheme investigated. Subsequently, designed is applied...

Collaborative vehicle platoon control with full drive-by-wire vehicles four-wheel independent driving and steering (FWIDSV) has attracted broader research interests. However, the problem of cooperative in two-dimensional scenes remains to be solved. This paper proposes a coupling method for path tracking spacing-maintaining based on reference vector field (RVF). An integrated hierarchical structure, including following layer, tire force allocator an actuator controlling layer FWIDSV is...

In order to construct vehicle driving cycle with ramp characteristics, this paper applies SOM neural network the construction of urban cycle. Firstly, data collected by actual test is divided into micro-trips, after that principal component analysis method used reduce dimension selected 20 characteristic parameters, afterward first five components all micro-trips are clustered network, and then appropriate length time from each category build a representative smallest average relative error...

Adaptive Cruise Control (ACC) systems have been implemented successfully in production vehicles primarily for improving driving comfort and reducing workload. As the core of all ACC systems, mode switching strategy directly affects performance system. This paper presents a brief comparison strategies existing solutions literature. The current can be classified into three major types according to their required information, including distance-based strategy, distance-speed-based...

As the rapid development of AI, computer vision and automatic control technologies, self-driving cars have been well designed developed. Since should coexist efficiently with human-driving cars, how to make practical strategies for them is increasingly significant. This paper optimizes cellular automaton do simulation quantizes human factors as realistic comprehensive possible based on spectral clustering which very suitable large-scale crowd management future smart cities. Compared...

Universal adversarial perturbation (UAP), also known as image-agnostic perturbation, is a fixed map that can fool the classifier with high probabilities on arbitrary images, making it more practical for attacking deep models in real world. Previous UAP methods generate scale-fixed and texture-fixed all which ignores multi-scale objects images usually results low fooling ratio. Since widely used convolution neural networks tend to classify according semantic information stored local textures,...