4.7k citations · 4.8k across the 18 of their papers we have counts for
6 papers · 1 filter
Toward Deep Representation Learning for Event-Enhanced Visual Autonomous Perception: the eAP Dataset
Jinghang Li, Shichao Li, Qing Lian +3
Recent visual autonomous perception systems achieve remarkable performances with deep representation learning. However, they fail in scenarios with challenging illumination.While e…
MultiPark: Multimodal Parking Transformer with Next-Segment Prediction
Han Zheng, Zikang Zhou, Guli Zhang +6
Parking accurately and safely in highly constrained spaces remains a critical challenge. Unlike structured driving environments, parking requires executing complex maneuvers such a…
SEPT: Standard-Definition Map Enhanced Scene Perception and Topology Reasoning for Autonomous Driving
Muleilan Pei, Jiayao Shan, Peiliang Li +4
Online scene perception and topology reasoning are critical for autonomous vehicles to understand their driving environments, particularly for mapless driving systems that endeavor…
SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving
Lu Zhang, Peiliang Li, Sikang Liu +1
This paper presents a Simple and effIcient Motion Prediction baseLine (SIMPL) for autonomous vehicles. Unlike conventional agent-centric methods with high accuracy but repetitive c…
Trajectory Prediction with Graph-based Dual-scale Context Fusion
Lu Zhang, Peiliang Li, Jing Chen +1
Motion prediction for traffic participants is essential for a safe and robust automated driving system, especially in cluttered urban environments. However, it is highly challengin…
VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator
Tong Qin, Peiliang Li, Shaojie Shen
A monocular visual-inertial system (VINS), consisting of a camera and a low-cost inertial measurement unit (IMU), forms the minimum sensor suite for metric six degrees-of-freedom (…