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Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
| Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS) |
| Autore | Tang Bo |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (344 p.) |
| Soggetto non controllato |
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 |
| ISBN | 3-03921-376-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Machine Learning and Embedded Computing in Advanced Driver Assistance Systems |
| Record Nr. | UNINA-9910367757403321 |
Tang Bo
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Supercomputing Frontiers : 7th Asian Conference, SCFA 2022, Singapore, March 1-3, 2022, Proceedings
| Supercomputing Frontiers : 7th Asian Conference, SCFA 2022, Singapore, March 1-3, 2022, Proceedings |
| Autore | Panda Dhabaleswar K |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2022 |
| Descrizione fisica | 1 online resource (150 pages) |
| Disciplina | 004.11 |
| Altri autori (Persone) | SullivanMichael |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer networking & communications
Software Engineering Operating systems Computer architecture & logic design Network hardware |
| Soggetto non controllato |
cloud computing
computer networks computer programming computer systems CUDA distributed computer systems gpu gpus hpc microprocessor chips mpi parallel algorithms parallel architectures parallel processing systems parallel programming programming languages signal processing telecommunication systems algorithms high performance computing |
| ISBN | 3-031-10419-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996478861303316 |
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Panda Dhabaleswar K
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| Cham, : Springer Nature, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Supercomputing Frontiers : 7th Asian Conference, SCFA 2022, Singapore, March 1-3, 2022, Proceedings
| Supercomputing Frontiers : 7th Asian Conference, SCFA 2022, Singapore, March 1-3, 2022, Proceedings |
| Autore | Panda Dhabaleswar K |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2022 |
| Descrizione fisica | 1 online resource (150 pages) |
| Disciplina | 004.11 |
| Altri autori (Persone) | SullivanMichael |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer networking & communications
Software Engineering Operating systems Computer architecture & logic design Network hardware |
| Soggetto non controllato |
cloud computing
computer networks computer programming computer systems CUDA distributed computer systems gpu gpus hpc microprocessor chips mpi parallel algorithms parallel architectures parallel processing systems parallel programming programming languages signal processing telecommunication systems algorithms high performance computing |
| ISBN | 3-031-10419-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580293303321 |
|
Panda Dhabaleswar K
|
||
| Cham, : Springer Nature, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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