most citedComprehensive Review of Deep Learning-Based 3D Point Cloud Completion Processing and Analysis

215 citations · 335 across the 26 of their papers we have counts for

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6 papers · 1 filter

cs.RO2023★ 11 cited

Towards Knowledge-driven Autonomous Driving

Xin Li, Yeqi Bai, Pinlong Cai +14

This paper explores the emerging knowledge-driven autonomous driving technologies. Our investigation highlights the limitations of current autonomous driving systems, in particular…

cs.RO2023★ 2 cited

Automatic Surround Camera Calibration Method in Road Scene for Self-driving Car

Jixiang Li, Jiahao Pi, Guohang Yan +1

With the development of autonomous driving technology, sensor calibration has become a key technology to achieve accurate perception fusion and localization. Accurate calibration o…

cs.RO2023

Perception Imitation: Towards Synthesis-free Simulator for Autonomous Vehicles

Xiaoliang Ju, Yiyang Sun, Yiming Hao +3

We propose a perception imitation method to simulate results of a certain perception model, and discuss a new heuristic route of autonomous driving simulator without data synthesis…

cs.RO2023★ 4 cited

SensorX2car: Sensors-to-car calibration for autonomous driving in road scenarios

Guohang Yan, Zhaotong Luo, Zhuochun Liu +1

Properly-calibrated sensors are the prerequisite for a dependable autonomous driving system. However, most prior methods focus on extrinsic calibration between sensors, and few foc…

cs.RO2022★ 35 cited

Analyzing Infrastructure LiDAR Placement with Realistic LiDAR Simulation Library

Xinyu Cai, Wentao Jiang, Runsheng Xu +4

Recently, Vehicle-to-Everything(V2X) cooperative perception has attracted increasing attention. Infrastructure sensors play a critical role in this research field; however, how to…

cs.RO2022★ 2 cited

Joint Camera Intrinsic and LiDAR-Camera Extrinsic Calibration

Guohang Yan, Feiyu He, Chunlei Shi +2

Sensor-based environmental perception is a crucial step for autonomous driving systems, for which an accurate calibration between multiple sensors plays a critical role. For the ca…