Search Results for author: Bencheng Liao

Found 8 papers, 7 papers with code

MapTRv2: An End-to-End Framework for Online Vectorized HD Map Construction

1 code implementation10 Aug 2023 Bencheng Liao, Shaoyu Chen, Yunchi Zhang, Bo Jiang, Qian Zhang, Wenyu Liu, Chang Huang, Xinggang Wang

We propose a unified permutation-equivalent modeling approach, \ie, modeling map element as a point set with a group of equivalent permutations, which accurately describes the shape of map element and stabilizes the learning process.

Autonomous Driving

VMA: Divide-and-Conquer Vectorized Map Annotation System for Large-Scale Driving Scene

2 code implementations19 Apr 2023 Shaoyu Chen, Yunchi Zhang, Bencheng Liao, Jiafeng Xie, Tianheng Cheng, Wei Sui, Qian Zhang, Chang Huang, Wenyu Liu, Xinggang Wang

We design a divide-and-conquer annotation scheme to solve the spatial extensibility problem of HD map generation, and abstract map elements with a variety of geometric patterns as unified point sequence representation, which can be extended to most map elements in the driving scene.

Autonomous Driving

VAD: Vectorized Scene Representation for Efficient Autonomous Driving

2 code implementations ICCV 2023 Bo Jiang, Shaoyu Chen, Qing Xu, Bencheng Liao, Jiajie Chen, Helong Zhou, Qian Zhang, Wenyu Liu, Chang Huang, Xinggang Wang

In this paper, we propose VAD, an end-to-end vectorized paradigm for autonomous driving, which models the driving scene as a fully vectorized representation.

Autonomous Driving Trajectory Planning

Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph Construction

1 code implementation15 Mar 2023 Bencheng Liao, Shaoyu Chen, Bo Jiang, Tianheng Cheng, Qian Zhang, Wenyu Liu, Chang Huang, Xinggang Wang

We present a path-based online lane graph construction method, termed LaneGAP, which end-to-end learns the path and recovers the lane graph via a Path2Graph algorithm.

Autonomous Driving graph construction +1

MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

1 code implementation30 Aug 2022 Bencheng Liao, Shaoyu Chen, Xinggang Wang, Tianheng Cheng, Qian Zhang, Wenyu Liu, Chang Huang

High-definition (HD) map provides abundant and precise environmental information of the driving scene, serving as a fundamental and indispensable component for planning in autonomous driving system.

3D Lane Detection Autonomous Driving

You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection

2 code implementations NeurIPS 2021 Yuxin Fang, Bencheng Liao, Xinggang Wang, Jiemin Fang, Jiyang Qi, Rui Wu, Jianwei Niu, Wenyu Liu

Can Transformer perform 2D object- and region-level recognition from a pure sequence-to-sequence perspective with minimal knowledge about the 2D spatial structure?

object-detection Object Detection

Cannot find the paper you are looking for? You can Submit a new open access paper.