Digital Twin Test Method for Autonomous Vehicles based on PanoSim
2023-09-22
摘要:This paper proposes an intelligent car testing and evaluation methodbased on digital twins, which is crucial for ensuring the properfunctioning of autonomous driving systems. This method utilize...
GPS Modeling for Vehicle Intelligent Driving Simulation
2022-11-04
In recent years, intelligent vehicles have become one of the major research topics in vehicle engineering and have created a new opportunity for the automotive industry. Simulation and real experiment
Research on a Simulation Method of the Millimeter Wave Radar Virtual Test Environment for Intelligen
2022-11-04
This study addresses the virtual testing of intelligent driving, examines the key problems in modeling and simulating millimeter wave radar environmental clutter, and proposes a modeling and simulatio
Research on Millimeter Wave Radar Simulation Model for Intelligent Vehicle
2022-11-04
Radar simulation models can effectively overcome the drawbacks of real vehicle experiment and speed up the development process of intelligent vehicle technologies based on millimeter wave radar via vi
Method and Applications of Lidar Modeling for Virtual Testing of Intelligent Vehicles
2022-11-04
With the common use of lidar sensors on intelligent vehicles, the simulation of lidar in autonomous driving is necessary. This study proposes an innovative lidar modeling method, and introduces soluti
Anchor Generation Optimization and Region of Interest Assignment for Vehicle Detection
2022-11-02
Region proposal network (RPN) based object detection, such as Faster Regions with CNN(Faster R-CNN), has gained considerable attention due to its high accuracy and fast speed.
Deep learning-based vehicle detection with synthetic image data
2022-11-02
Deep convolutional neural network (CNN)-based object detectors perform better than other kinds of object detectorsin recent development. Training CNNs ...
A Generation Method of Synthetic Images with Reduced Domain Gap for Car Demain Gap for Car Detection
2022-10-19
Deep learning has become the main way of the objectdetection task for autonomous vehicles. Meanwhile, this methodtypically requires vast amounts of training data to reach theirfull potential. However,
A Maneuver-Based Threat Assessment Strategy for Collision Avoidance
2022-10-19
Advanced driver assistance systems (ADAS) are being developed for more and more complicated application scenarios, which often require more predictive strategies with better understanding of driving e
Driving Behavior Prediction at Roundabouts Based on Integrated Simulation Platform
2022-10-19
Due to growing interest in automated driving, the need for better understanding of human driving behavior in uncertain environment, such as driving behavior at un-signalized crossroad and roundabout,
Scene Understanding in Deep Learning-Based End-to-End Controllers for Autonomous Vehicles
2022-10-19
Deep learning techniques have been widely used inautonomous driving community for the purpose of environmentperception. Recently, it starts being adopted for learningend-to-end controllers for complex
An integrated control strategy for eco-driving of intelligent hybrid vehicles
2022-10-19
Minimum energy cost with comfort drivingcharacteritics define the ideal human mobility. Recenttechnological advances in most of the Advanced Driver Assistance Systems (ADASs) equipped on electric vehi
MPC-based Path Tracking Control with Forward Compensation for Autonomous Driving
2022-10-19
Path tracking is a fundamental and important part of the automated vehicles, which ensures the vehicle to drive along the desired path accurately. Although great progress has been made in path trackin
Research on Control Method of Self-driving Vehicle Based on Adaptive Fuzzy PID
2022-10-19
In the control of self-driving vehicles, PID controllers are widely used, because of their simple structure and good stability. However, in a complex self-driving environment, different scenarios have
Intention Prediction and Mixed Strategy Nash Equilibrium-Based Decision-Making Framework for Auton
2022-10-19
Decision-making in uncontrolled intersection is one of the main challenges in urban autonomous driving. This paper proposed a new decision-making framework in uncontrolled intersection based on the in
Research on the Classification and Identification for Personalized Driving Styles
2022-10-19
More and more Advanced Driver Assistance Systems (ADAS) are entering the market for improving both driving safety and comfort. To improve the system performance, in particular, the acceptance and adap
Development and Verification of Traffic Confrontation Simulation Test Platform Based on PanoSim
2022-07-07
With the continuous development of smart vehicles, the accuracy requirements of smart vehicles are getting higher and higher, so the simulation test of smart vehicles is becoming more and more importa
Preceding vehicle following algorithm with human driving characteristics
2022-07-07
We adjusted the weight vector ofthe reward function so that the value vector of the RL model could continuously approach that of a human driver. Afterdozens of rounds of training, we selected the poli