A network on chip architecture and design methodology
We propose a packet switched platform for single chip systems which scales well to an
arbitrary number of processor like resources. The platform, which we call Network-on-Chip …
arbitrary number of processor like resources. The platform, which we call Network-on-Chip …
On-road vehicle detection and tracking using MMW radar and monovision fusion
X Wang, L Xu, H Sun, J Xin… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
With the potential to increase road safety and provide economic benefits, intelligent vehicles
have elicited a significant amount of interest from both academics and industry. A robust and …
have elicited a significant amount of interest from both academics and industry. A robust and …
Passive vision region-based road detection: A literature review
T Rateke, KA Justen, VF Chiarella… - ACM Computing …, 2019 - dl.acm.org
We present a literature review to analyze the state of the art in the area of road detection
based upon frontal images. For this purpose, a systematic literature review (SLR) was …
based upon frontal images. For this purpose, a systematic literature review (SLR) was …
Estimating drivable collision-free space from monocular video
In this paper we propose a novel algorithm for estimating the drivable collision-free space for
autonomous navigation of on-road and on-water vehicles. In contrast to previous …
autonomous navigation of on-road and on-water vehicles. In contrast to previous …
Segmentation of drivable road using deep fully convolutional residual network with pyramid pooling
In recent years, the self-driving car has rapidly been developing around the world. Based on
deep learning, monocular vision-based environmental perceptions of either ADAS or self …
deep learning, monocular vision-based environmental perceptions of either ADAS or self …
A multi-modal system for road detection and segmentation
X Hu, FSA Rodriguez… - 2014 IEEE Intelligent …, 2014 - ieeexplore.ieee.org
Reliable road detection is a key issue for modern Intelligent Vehicles, since it can help to
identify the driv-able area as well as boosting other perception functions like object …
identify the driv-able area as well as boosting other perception functions like object …
Unified deep convolutional neural net for free-space estimation, object detection and object pose estimation
A method in a vehicle for performing multiple on-board sensing tasks concurrently in the
same network using deep learning algorithms is provided. The method includes receiving …
same network using deep learning algorithms is provided. The method includes receiving …
Ground moving vehicle detection and movement tracking based on the neuromorphic vision sensor
Moving-objects detection is a critical ability for an autonomous vehicle. Facing the high
detection requirements and the slow target-extraction problem of a common camera, this …
detection requirements and the slow target-extraction problem of a common camera, this …
Drivable road detection based on dilated FPN with feature aggregation
In the field of ADAS and self-driving car, lane and drivable road detection play an essential
role in reliably accomplishing other tasks, such as objects detection. For monocular vision …
role in reliably accomplishing other tasks, such as objects detection. For monocular vision …
Extending the stixel world with online self-supervised color modeling for road-versus-obstacle segmentation
WP Sanberg, G Dubbelman… - 17th International IEEE …, 2014 - ieeexplore.ieee.org
This work concentrates on vision processing for ADAS and intelligent vehicle applications.
We propose a color extension to the disparity-based Stixel World method, so that the road …
We propose a color extension to the disparity-based Stixel World method, so that the road …