[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Jugade et al., 2018 - Google Patents

Sensor based prediction of human driving decisions using feed forward neural networks for intelligent vehicles

Jugade et al., 2018

View PDF
Document ID
17043939064691378582
Author
Jugade S
Victorino A
Cherfaoui V
Kanarachos S
Publication year
Publication venue
2018 21st International Conference on Intelligent Transportation Systems (ITSC)

External Links

Snippet

Prediction of human driving decisions is an important aspect of modeling human behavior for the application to Advanced Driver Assistance Systems (ADAS) in the intelligent vehicles. This paper presents a sensor based receding horizon model for the prediction of human …
Continue reading at hal.science (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/16—Anti-collision systems
    • G08G1/167—Driving aids for lane monitoring, lane changing, e.g. blind spot detection
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/07—Controlling traffic signals
    • G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G06N3/04—Architectures, e.g. interconnection topology
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/66—Radar-tracking systems; Analogous systems where the wavelength or the kind of wave is irrelevant
    • G01S13/72—Radar-tracking systems; Analogous systems where the wavelength or the kind of wave is irrelevant for two-dimensional tracking, e.g. combination of angle and range tracking, track-while-scan radar
    • G01S13/723—Radar-tracking systems; Analogous systems where the wavelength or the kind of wave is irrelevant for two-dimensional tracking, e.g. combination of angle and range tracking, track-while-scan radar by using numerical data
    • G01S13/726—Multiple target tracking

Similar Documents

Publication Publication Date Title
US11480972B2 (en) Hybrid reinforcement learning for autonomous driving
Jeong et al. Surround vehicle motion prediction using LSTM-RNN for motion planning of autonomous vehicles at multi-lane turn intersections
US11320827B2 (en) Method and system for deterministic trajectory selection based on uncertainty estimation for an autonomous agent
CN110843789B (en) Vehicle lane change intention prediction method based on time sequence convolution network
Jeong et al. Bidirectional long shot-term memory-based interactive motion prediction of cut-in vehicles in urban environments
WO2021073781A1 (en) Prediction and planning for mobile robots
Yoganandhan et al. Fundamentals and development of self-driving cars
Aradi et al. Policy gradient based reinforcement learning approach for autonomous highway driving
Nallaperuma et al. Intelligent detection of driver behavior changes for effective coordination between autonomous and human driven vehicles
Dong et al. Interactive ramp merging planning in autonomous driving: Multi-merging leading PGM (MML-PGM)
Jugade et al. Sensor based prediction of human driving decisions using feed forward neural networks for intelligent vehicles
Li et al. Development and testing of advanced driver assistance systems through scenario-based system engineering
Jeong Predictive lane change decision making using bidirectional long shot-term memory for autonomous driving on highways
Chae et al. Design and vehicle implementation of autonomous lane change algorithm based on probabilistic prediction
Muzahid et al. Deep reinforcement learning-based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles
Choe et al. Deep Q learning with LSTM for traffic light control
CN113538909A (en) Traffic incident prediction method and device for automatic driving vehicle
Gómez–Huélamo et al. Smartmot: Exploiting the fusion of hdmaps and multi-object tracking for real-time scene understanding in intelligent vehicles applications
Jeong et al. SVM based intention inference and motion planning at uncontrolled intersection
Tomar et al. Neural network based lane change trajectory predictions for collision prevention
Campbell et al. Traffic light status detection using movement patterns of vehicles
Yi et al. Data-driven situation awareness algorithm for vehicle lane change
Gong et al. Intuitive decision-making modeling for self-driving vehicles
CN117227714A (en) Control method and system for turning avoidance of automatic driving vehicle
Raipuria et al. Road infrastructure indicators for trajectory prediction