Results 11 to 20 of about 77,468 (232)
Lane Detection Method with Impulse Radio Ultra-Wideband Radar and Metal Lane Reflectors
Sensors, 2020 An advanced driver-assistance system (ADAS), based on lane detection technology, detects dangerous situations through various sensors and either warns the driver or takes over direct control of the vehicle.
Dae-Hyun Kim
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2023 IEEE International Conference on Robotics and Automation (ICRA), 2023 Path planning and localization in low-light and inclement weather conditions are critical problems facing autonomous vehicle systems. Our proposed method applies a single modality, millimetre-wave radar perception system for the detection of roadside retro-reflectors.
Sacoransky, Dean +2 more
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High Resolution-Based Coherent Photonic Radar Sensor for Multiple Target Detections
Journal of Sensor and Actuator Networks, 2022 The last decade witnessed remarkable growth in the number of global road accidents. To minimize road accidents, transportation systems need to become more intelligent.
Sushank Chaudhary +5 more
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Sensors, 2020 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 simulation method for the environmental clutter of millimeter ...
Xin Li +3 more
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Sensors, 2018 The millimeter-wave radar has been widely used in traffic applications. However, little research has been done to install the millimeter-wave radar on the top of a road for detecting road traffic flow at a downward looking direction.
Haiqing Liu +3 more
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Fingerprints of the Automotive Radar Scattering of Passenger Cars and Vans
Applied Sciences, 2023 The radar scattering characteristics of extended objects are an important parameter for perception and tracking algorithms in automated driving tasks. Therefore, high-fidelity sensor models are required to simulate and evaluate typical driving scenarios ...
Philip Aust +3 more
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Artificial neural network approach in radar target classification [PDF]
, 2009 Problem statement: This study unveils the potential and utilization of Neural Network (NN) in radar applications for target classification. The radar system under test is a special of it kinds and known as Forward Scattering Radar (FSR).
Ibrahim, N. K. +2 more
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Automated Lane-Level Road Geometry Estimation Using Microscopic Trajectory Data
Journal of Advanced Transportation, 2023 Vehicle trajectory data is in high demand for transportation research due to its rich detail. Lane information is an important aspect of trajectory data, which is typically obtained using sensors such as cameras or LiDAR, which are able to extract road ...
Junhua Wang +5 more
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A machine learning joint lidar and radar classification system in urban automotive scenarios [PDF]
Advances in Radio Science, 2019 This work presents an approach to classify road users as pedestrians, cyclists or cars using a lidar sensor and a radar sensor. The lidar is used to detect moving road users in the surroundings of the car.
R. Pérez +3 more
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Implementation and Road Test of Signal Processing Unit for FMCW vehicle Radar system [PDF]
The Journal of the Korean Institute of Information and Communication Engineering, 2010 FMCW(Frequency Modulation Continuous Wave) Radar is very useful for vehicle collision warning system because of the simplicity. In this work, a signal processing part of FMCW vehicle radar system is implemented with flexibility using DSP, FPGA, ADC, and DAC so that the system could adopt lots of algorithm and could be improved through road test.
Woo-Jin Oh, Jong-Hun Lee
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