[HTML][HTML] Human face detection techniques: A comprehensive review and future research directions
Face detection, which is an effortless task for humans, is complex to perform on machines.
The recent veer proliferation of computational resources is paving the way for frantic …
The recent veer proliferation of computational resources is paving the way for frantic …
Ultra fast structure-aware deep lane detection
Modern methods mainly regard lane detection as a problem of pixel-wise segmentation,
which is struggling to address the problem of challenging scenarios and speed. Inspired by …
which is struggling to address the problem of challenging scenarios and speed. Inspired by …
Ultra fast deep lane detection with hybrid anchor driven ordinal classification
Modern methods mainly regard lane detection as a problem of pixel-wise segmentation,
which is struggling to address the problems of efficiency and challenging scenarios like …
which is struggling to address the problems of efficiency and challenging scenarios like …
Polylanenet: Lane estimation via deep polynomial regression
One of the main factors that contributed to the large advances in autonomous driving is the
advent of deep learning. For safer self-driving vehicles, one of the problems that has yet to …
advent of deep learning. For safer self-driving vehicles, one of the problems that has yet to …
Kee** the vehicle on the road: A survey on on-road lane detection systems
The development of wireless sensor networks, such as researchers Advanced Driver
Assistance Systems (ADAS) requires the ability to analyze the road scene just like a human …
Assistance Systems (ADAS) requires the ability to analyze the road scene just like a human …
A sensor-fusion drivable-region and lane-detection system for autonomous vehicle navigation in challenging road scenarios
Autonomous vehicle navigation is challenging since various types of road scenarios in real
urban environments have to be considered, particularly when only perception sensors are …
urban environments have to be considered, particularly when only perception sensors are …
GOLD: A parallel real-time stereo vision system for generic obstacle and lane detection
This paper describes the generic obstacle and lane detection system (GOLD), a stereo
vision-based hardware and software architecture to be used on moving vehicles to …
vision-based hardware and software architecture to be used on moving vehicles to …
Lane detection and tracking using B-Snake
In this paper, we proposed a B-Snake based lane detection and tracking algorithm without
any cameras' parameters. Compared with other lane models, the B-Snake based lane …
any cameras' parameters. Compared with other lane models, the B-Snake based lane …
Video-based lane estimation and tracking for driver assistance: survey, system, and evaluation
JC McCall, MM Trivedi - IEEE transactions on intelligent …, 2006 - ieeexplore.ieee.org
Driver-assistance systems that monitor driver intent, warn drivers of lane departures, or
assist in vehicle guidance are all being actively considered. It is therefore important to take a …
assist in vehicle guidance are all being actively considered. It is therefore important to take a …
Deeplanes: End-to-end lane position estimation using deep neural networksa
Camera-based lane detection algorithms are one of the key enablers for many semi-
autonomous and fully-autonomous systems, ranging from lane keep assist to level-5 …
autonomous and fully-autonomous systems, ranging from lane keep assist to level-5 …