Using channel-wise attention for deep CNN based real-time semantic segmentation with class-aware edge information
HY Han, YC Chen, PY Hsiao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Advanced Driver Assistance Systems (ADAS) consists of two basic functions. One is the
object detection for preventing vehicles from hitting pedestrians or other obstacles. The other …
object detection for preventing vehicles from hitting pedestrians or other obstacles. The other …
The impact of social influence, technophobia, and perceived safety on autonomous vehicle technology adoption
The objective of this study was to determine whether there was a relationship between
social influence, technophobia, perceived safety of autonomous vehicle technology, number …
social influence, technophobia, perceived safety of autonomous vehicle technology, number …
Obstacle classification and detection for vision based navigation for autonomous driving
N Deepika, VVS Variyar - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
With the rising trend in research and development of autonomous vehicles, it is important to
keep in mind the cost effectiveness of the system. The cost of high-end sensor technologies …
keep in mind the cost effectiveness of the system. The cost of high-end sensor technologies …
Spatial and temporal information for semantic segmentation
M Ghafarianzadeh, JWV Philbin - US Patent 10,176,388, 2019 - Google Patents
Systems and methods for segmenting an image using a convolutional neural network are
described herein. A con volutional neural network (CNN) comprises an encoder decoder …
described herein. A con volutional neural network (CNN) comprises an encoder decoder …
Autonomous decision making for a driver-less car
N Gallardo, N Gamez, P Rad… - 2017 12th System of …, 2017 - ieeexplore.ieee.org
Autonomous driving has been a hot topic with companies like Google, Uber, and Tesla
because of the complexity of the problem, seemingly endless applications, and capital gain …
because of the complexity of the problem, seemingly endless applications, and capital gain …
Small obstacles detection on roads scenes using semantic segmentation for the safe navigation of autonomous vehicles
Currently, autonomous vehicles and intelligent robots are used in an extensive set of
industrial applications. However, in the recent past, the frequency with which small obstacles …
industrial applications. However, in the recent past, the frequency with which small obstacles …
GPS based navigation system for autonomous car
PG Parakkal, VVS Variyar - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
Navigation is an indispensable part of a mobile robot, especially the ability to self-navigate is
of immense importance to an autonomous car. For this purpose, it is necessary for the car to …
of immense importance to an autonomous car. For this purpose, it is necessary for the car to …
適合自動駕駛車輛之結合邊緣資訊即時影像語意分割系統
韓翔宇 - 2018 - tdr.lib.ntu.edu.tw
先進駕駛輔助系統(ADAS) 包含兩項基本功能需求. 首先是物件偵測功能, 用於車輛行駛中避免
碰撞障礙物或是路上行人. 另外一項需求則是藉由影像切割功能找到車輛可以行駛的區域 …
碰撞障礙物或是路上行人. 另外一項需求則是藉由影像切割功能找到車輛可以行駛的區域 …
基於深度學習語義分割之城市道路汽車轉向操控
塗國星 - 2017 - tdr.lib.ntu.edu.tw
在視覺式自動駕駛系統中, 感知與控制是兩個重要且待解決的議題. 此外, 由於深度卷積神經網路
在解決感知與控制問題上有非常好能力, 使得深度卷積神經網路成為視覺式自動駕駛系統的解決 …
在解決感知與控制問題上有非常好能力, 使得深度卷積神經網路成為視覺式自動駕駛系統的解決 …
[PDF][PDF] Autonomous Decision Making for
D Car - academia.edu
Autonomous Driving has been a hot topic with companies like Google, Uber, and Tesla
because of the complexity of the problem, seemingly endless applications, and capitol gain …
because of the complexity of the problem, seemingly endless applications, and capitol gain …