AI Chat AI Image Generator AI Video Text to Speech

Semantic video segmentation for autonomous driving

10/28/2020

∙

by Minh Triet Chau, et al.

∙

∙

We aim to solve semantic video segmentation in autonomous driving, namely road detection in real time video, using techniques discussed in (Shelhamer et al., 2016a). While fully convolutional network gives good result, we show that the speed can be halved while preserving the accuracy. The test dataset being used is KITTI, which consists of real footage from Germany's streets.

page 1

page 2

page 3

page 4

research

∙ 12/22/2016

MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

While most approaches to semantic reasoning have focused on improving pe...

0 Marvin Teichmann, et al. ∙

research

∙ 04/10/2019

DSNet: An Efficient CNN for Road Scene Segmentation

Road scene understanding is a critical component in an autonomous drivin...

0 Ping-Rong Chen, et al. ∙

research

∙ 11/03/2022

Semantic 3D Grid Maps for Autonomous Driving

Maps play a key role in rapidly developing area of autonomous driving. W...

0 Ajinkya Khoche, et al. ∙

research

∙ 11/04/2020

S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-shot Segmentation

Real-time understanding in video is crucial in various AI applications s...

18 Yuan Cheng, et al. ∙

research

∙ 09/01/2020

3D-DEEP: 3-Dimensional Deep-learning based on elevation patterns forroad scene interpretation

Road detection and segmentation is a crucial task in computer vision for...

15 A. Hernández, et al. ∙

research

∙ 05/05/2019

A Methodological Review of Visual Road Recognition Procedures for Autonomous Driving Applications

The current research interest in autonomous driving is growing at a rapi...

10 Kai Li Lim, et al. ∙

research

∙ 07/25/2020

Applying Semantic Segmentation to Autonomous Cars in the Snowy Environment

This paper mainly focuses on environment perception in snowy situations ...

0 Zhaoyu Pan, et al. ∙