DeepAI
Log In Sign Up

Understanding Road Layout from Videos as a Whole

07/02/2020
by   Buyu Liu, et al.
2

In this paper, we address the problem of inferring the layout of complex road scenes from video sequences. To this end, we formulate it as a top-view road attributes prediction problem and our goal is to predict these attributes for each frame both accurately and consistently. In contrast to prior work, we exploit the following three novel aspects: leveraging camera motions in videos, including context cuesand incorporating long-term video information. Specifically, we introduce a model that aims to enforce prediction consistency in videos. Our model consists of one LSTM and one Feature Transform Module (FTM). The former implicitly incorporates the consistency constraint with its hidden states, and the latter explicitly takes the camera motion into consideration when aggregating information along videos. Moreover, we propose to incorporate context information by introducing road participants, e.g. objects, into our model. When the entire video sequence is available, our model is also able to encode both local and global cues, e.g. information from both past and future frames. Experiments on two data sets show that: (1) Incorporating either globalor contextual cues improves the prediction accuracy and leveraging both gives the best performance. (2) Introducing the LSTM and FTM modules improves the prediction consistency in videos. (3) The proposed method outperforms the SOTA by a large margin.

READ FULL TEXT

page 1

page 3

page 5

page 6

page 8

12/14/2018

A Parametric Top-View Representation of Complex Road Scenes

In this paper, we address the problem of inferring the layout of complex...
10/05/2022

Temporally Consistent Video Transformer for Long-Term Video Prediction

Generating long, temporally consistent video remains an open challenge i...
06/07/2022

Generating Long Videos of Dynamic Scenes

We present a video generation model that accurately reproduces object mo...
08/19/2022

Temporal View Synthesis of Dynamic Scenes through 3D Object Motion Estimation with Multi-Plane Images

The challenge of graphically rendering high frame-rate videos on low com...
07/21/2017

Recurrent Neural Networks for Online Video Popularity Prediction

In this paper, we address the problem of popularity prediction of online...
11/15/2022

Monocular BEV Perception of Road Scenes via Front-to-Top View Projection

HD map reconstruction is crucial for autonomous driving. LiDAR-based met...