Abstract | Keywords | Export | Availability | Bookmark

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book contains the latest research on machine learning and embedded computing in advanced driver assistance systems (ADAS). It encompasses research in detection, tracking, LiDAR

n/a --- FPGA --- recurrence plot (RP) --- residual learning --- neural networks --- driver monitoring --- navigation --- depthwise separable convolution --- optimization --- dynamic path-planning algorithms --- object tracking --- sub-region --- cooperative systems --- convolutional neural networks --- DSRC --- VANET --- joystick --- road scene --- convolutional neural network (CNN) --- multi-sensor --- p-norm --- occlusion --- crash injury severity prediction --- deep leaning --- squeeze-and-excitation --- electric vehicles --- perception in challenging conditions --- T-S fuzzy neural network --- total vehicle mass of the front vehicle --- electrocardiogram (ECG) --- communications --- generative adversarial nets --- camera --- adaptive classifier updating --- Vehicle-to-X communications --- convolutional neural network --- predictive --- Geobroadcast --- infinity norm --- urban object detector --- machine learning --- automated-manual transition --- red light-running behaviors --- photoplethysmogram (PPG) --- panoramic image dataset --- parallel architectures --- visual tracking --- autopilot --- ADAS --- kinematic control --- GPU --- road lane detection --- obstacle detection and classification --- Gabor convolution kernel --- autonomous vehicle --- Intelligent Transport Systems --- driving decision-making model --- Gaussian kernel --- autonomous vehicles --- enhanced learning --- ethical and legal factors --- kernel based MIL algorithm --- image inpainting --- fusion --- terrestrial vehicle --- driverless --- drowsiness detection --- map generation --- object detection --- interface --- machine vision --- driving assistance --- blind spot detection --- deep learning --- relative speed --- autonomous driving assistance system --- discriminative correlation filter bank --- recurrent neural network --- emergency decisions --- LiDAR --- real-time object detection --- vehicle dynamics --- path planning --- actuation systems --- maneuver algorithm --- autonomous driving --- smart band --- the emergency situations --- two-wheeled --- support vector machine model --- global region --- biological vision --- automated driving