4 citations · 10 across the 9 of their papers we have counts for
10 papers
Large Scale Autonomous Driving Scenarios Clustering with Self-supervised Feature Extraction
Jinxin Zhao, Jin Fang, Zhixian Ye +1
The clustering of autonomous driving scenario data can substantially benefit the autonomous driving validation and simulation systems by improving the simulation tests' completenes…
Robust 2D/3D Vehicle Parsing in CVIS
Hui Miao, Feixiang Lu, Zongdai Liu +3
We present a novel approach to robustly detect and perceive vehicles in different camera views as part of a cooperative vehicle-infrastructure system (CVIS). Our formulation is des…
MapFusion: A General Framework for 3D Object Detection with HDMaps
Jin Fang, Dingfu Zhou, Xibin Song +1
3D object detection is a key perception component in autonomous driving. Most recent approaches are based on Lidar sensors only or fused with cameras. Maps (e.g., High Definition M…
IAFA: Instance-aware Feature Aggregation for 3D Object Detection from a Single Image
Dingfu Zhou, Xibin Song, Yuchao Dai +5
3D object detection from a single image is an important task in Autonomous Driving (AD), where various approaches have been proposed. However, the task is intrinsically ambiguous a…
Fine-Grained Vehicle Perception via 3D Part-Guided Visual Data Augmentation
Feixiang Lu, Zongdai Liu, Hui Miao +5
Holistically understanding an object and its 3D movable parts through visual perception models is essential for enabling an autonomous agent to interact with the world. For autonom…
Grounding Implicit Goal Description for Robot Indoor Navigation Via Recursive Belief Update
Rui Chen, Jinxin Zhao, Liangjun Zhang
Natural language-based robotic navigation remains a challenging problem due to the human knowledge of navigation constraints, and destination is not directly compatible with the ro…