Search Results - car AND random tree algorithm

A Novel Direct Trajectory Planning Approach Based on Generative Adversarial Networks and Rapidly-Exploring Random Tree by Zhao, Cong, Zhu, Yifan, Du, Yuchuan, Liao, Feixiong, Chan, Ching-Yao

“… Additionally, by embedding the GDTP into the rapidly-exploring random tree (RRT), a GDTP-RRT algorithm is further designed for long-distance and multi-stage planning tasks…”
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Path Planning Using Combined Informed Rapidly- Exploring Random Tree Star and Particle Swarm Optimization Algorithms by Pohan, Muhammad Aria Rajasa, Trilaksono, Bambang Riyanto, Santosa, Sigit Puji, Rohman, Arief Syaichu

“…This study proposes a path planning algorithm that combines an informed rapidly-exploring random tree (RRT…”
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Trajectory optimization and obstacle avoidance of autonomous robot using Robust and Efficient Rapidly Exploring Random Tree by Ul Islam, Naeem, Gul, Kaynat, Faizullah, Faiz, Ullah, Syed Sajid, Syed, Ikram

“… on a novel sampling-based path-finding algorithm designed for autonomous vehicles navigating complex environments…”
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Rapid estimation of leaf nitrogen content in apple-trees based on canopy hyperspectral reflectance using multivariate methods by Chen, Shaomin, Hu, Tiantian, Luo, Lihua, He, Qiong, Zhang, Shaowu, Li, Mengyue, Cui, Xiaolu, Li, Hongxiang

“…•The spectra of apple tree canopy affected by floating dust particles were well preprocessed by SNV-FD.•Random frog (Rfrog…”
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NRR: a nonholonomic random replanner for navigation of car-like robots in unknown environments by Masehian, Ellips, Kakahaji, Hossein

“… The robot is incrementally directed toward its destination using a nonholonomic rapidly exploring random tree (RRT) algorithm…”
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Random Forest Regressor Approach for Predicting Resale Value of used Vehicles (RFRVP) by Rane, Milind, Patil, Mandar, Rane, Nikhil, Amune, Amruta

“… To Forecast the selling cost of the old Cars, we used machine learning-based algorithms which includes Random Forest, Linear, Decision Tree, and Ridge Regression also we use sophisticated Python module Sklearn…”
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Improving rapidly-exploring random trees algorithm for automated parking in real-world scenarios by Vlasak, Jiri, Sojka, Michal, Hanzálek, Zdeněk

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ITE-RRT: Intelligent Path Planning for Autonomous Cars With Intermediary Trees, Triangle Inequality, and Equal Distance Optimization by Hoang Anh Nguyen, Viet, Tuong Chau, Vy, Nguyen Thien Tran, Trang, Le, Tuan M., Tran, Hieu M., Wang, Ke, Tran, Ly V., Dao, Son V. T.

“…This research introduces a new algorithm that enhances the existing Intermediary RRT…”
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Risk-Quantification Method for Car-Following Behavior Considering Driving-Style Propensity by Wang, Kedong, Qu, Dayi, Yang, Yufeng, Dai, Shouchen, Wang, Tao

“…, and safe, using the fuzzy C-means algorithm. Finally, we predict the car-following risk using the LightGBM algorithm in real time…”
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Purchasing Intentions Analysis of Hybrid Cars Using Random Forest Classifier and Deep Learning by Ong, Ardvin Kester S., Cordova, Lara Nicole Z., Longanilla, Franscine Althea B., Caprecho, Neallo L., Javier, Rocksel Andry V., Borres, Riañina D., German, Josephine D.

“… Machine Learning Algorithm (MLA) tools such as the Decision Tree (DT), Random Forest Classifier (RFC…”
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The Pransky interview: Dr James Kuffner, CEO at Toyota Research Institute Advanced Development, Coinventor of the rapidly, exploring random tree algorithm by Pransky, Joanne

“…PurposeThe following article is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological,…”
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Developing a Travel Time Estimation Method of Freeway Based on Floating Car Using Random Forests by Cheng, Juan, Chen, Xianhua, Li, Gen

“… Different from other machine learning algorithm as black boxes, Random Forests can provide interpretable results through variable importance…”
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Detection and Risk Analysis with Lane-Changing Decision Algorithms for Autonomous Vehicles by Mechernene, Amin, Judalet, Vincent, Chaibet, Ahmed, Boukhnifer, Moussa

“… Among them is improving decision-making algorithms so that vehicles can make the right decision inspired by human driving…”
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Auto-Price Forecast: An Analysis of Car Value Trends by Sutaria, Ruturaj, Jain, Reetu

“… We collected a dataset of used car listings and used it to train and test our model. Our model is based on a combination of linear regression and decision tree algorithms…”
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ERCP: speedup path planning through clustering and presearching by He, Kun, Niu, Xin-Zheng, Min, Xue-Yang, Min, Fan

“… Sampling-based algorithms have achieved significant success in this task. The rapidly random-exploring tree (RRT…”
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Towards Autonomous Aircraft Towing Car: Path Planning Based on Enhanced RRT Algorithm by Kim, Jae-eun, Cho, Sungwook, Jung, Yeondeuk

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Path-planning algorithms for self-driving vehicles based on improved RRT-Connect by Li, Jin, Huang, Chaowei, Pan, Minqiang

“… A simulation test shows that compared with the basic rapidly-exploring random tree (RRT), RRT-Connect and RRT…”
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Imitation learning of car driving skills with decision trees and random forests by Cichosz, Paweł, Pawełczak, Łukasz

“…Machine learning is an appealing and useful approach to creating vehicle control algorithms, both for simulated and real vehicles…”
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Exposure Assessment of Traffic-Related Air Pollution Based on CFD and BP Neural Network and Artificial Intelligence Prediction of Optimal Route in an Urban Area by Ren, Lulu, An, Farun, Su, Meng, Liu, Jiying

“…Due to rapid global economic development, the number of motor vehicles has increased sharply, causing significant traffic pollution and posing a threat to…”
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Autonomous Rear Parking via Rapidly Exploring Random-Tree-Based Reinforcement Learning by Shahi, Saugat, Lee, Heoncheol

“…: (1) OpenAI Gym environment for training the reinforcement learning agent, (2) path planning based on rapidly exploring random trees, (3…”
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