2nd Place Solution for Waymo Open Dataset Challenge -- 2D Object Detection

2020-06-28 · Sijia Chen, Yu Wang, Li Huang, Runzhou Ge, Yihan Hu, Zhuangzhuang Ding, Jie Liao

A practical autonomous driving system urges the need to reliably and accurately detect vehicles and persons. In this report, we introduce a state-of-the-art 2D object detection system for autonomous driving scenarios. Specifically, we integrate both popular two-stage detector and one-stage detector with anchor free fashion to yield a robust detection. Furthermore, we train multiple expert models and design a greedy version of the auto ensemble scheme that automatically merges detections from different models. Notably, our overall detection system achieves 70.28 L2 mAP on the Waymo Open Dataset v1.2, ranking the 2nd place in the 2D detection track of the Waymo Open Dataset Challenges.

📄 PDF Abstract BibTeX arXiv:2006.15507

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Tasks

2D Object Detection Autonomous Driving object-detection Object Detection

MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge -- Motion Prediction

2022-09-20 · Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele

In this report, we present the 1st place solution for motion prediction track in 2022 Waymo Open Dataset Challenges. We propose a novel Motion Transformer framework for multimodal motion prediction, which introduces a sm…

motion prediction Prediction

Point Transformer V3 Extreme: 1st Place Solution for 2024 Waymo Open Dataset Challenge in Semantic Segmentation

2024-07-21 · Xiaoyang Wu, Xiang Xu, Lingdong Kong, Liang Pan 외

In this technical report, we detail our first-place solution for the 2024 Waymo Open Dataset Challenge's semantic segmentation track. We significantly enhanced the performance of Point Transformer V3 on the Waymo benchma…

Position Segmentation Semantic Segmentation

1st Place Solutions of Waymo Open Dataset Challenge 2020 -- 2D Object Detection Track

2020-08-04 · Zehao Huang, Zehui Chen, Qiaofei Li, Hongkai Zhang 외

In this technical report, we present our solutions of Waymo Open Dataset (WOD) Challenge 2020 - 2D Object Track. We adopt FPN as our basic framework. Cascade RCNN, stacked PAFPN Neck and Double-Head are used for performa…

2D Object Detection Object object-detection Object Detection+1

PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D Tracking / Domain Adaptation of Waymo Open Dataset Challenges

2020-08-28 · Shaoshuai Shi, Chaoxu Guo, Jihan Yang, Hongsheng Li

In this technical report, we present the top-performing LiDAR-only solutions for 3D detection, 3D tracking and domain adaptation three tracks in Waymo Open Dataset Challenges 2020. Our solutions for the competition are b…

3D Object Detection Domain Adaptation object-detection Object Detection

1st Place Solutions for Waymo Open Dataset Challenges -- 2D and 3D Tracking

2020-06-28 · Yu Wang, Sijia Chen, Li Huang, Runzhou Ge 외

This technical report presents the online and real-time 2D and 3D multi-object tracking (MOT) algorithms that reached the 1st places on both Waymo Open Dataset 2D tracking and 3D tracking challenges. An efficient and pra…

3D Multi-Object Tracking Multi-Object Tracking Object Tracking