31 citations · 94 across the 15 of their papers we have counts for
15 papers
Vision-Based Traffic Accident Detection and Anticipation: A Survey
Jianwu Fang, iahuan Qiao, Jianru Xue +1
Traffic accident detection and anticipation is an obstinate road safety problem and painstaking efforts have been devoted. With the rapid growth of video data, Vision-based Traffic…
Gated Driver Attention Predictor
Tianci Zhao, Xue Bai, Jianwu Fang +1
Driver attention prediction implies the intention understanding of where the driver intends to go and what object the driver concerned about, which commonly provides a driving task…
Counterfactual Graph Transformer for Traffic Flow Prediction
Ying Yang, Kai Du, Xingyuan Dai +1
Traffic flow prediction (TFP) is a fundamental problem of the Intelligent Transportation System (ITS), as it models the latent spatial-temporal dependency of traffic flow for poten…
UAV Obstacle Avoidance by Human-in-the-Loop Reinforcement in Arbitrary 3D Environment
Xuyang Li, Jianwu Fang, Kai Du +2
This paper focuses on the continuous control of the unmanned aerial vehicle (UAV) based on a deep reinforcement learning method for a large-scale 3D complex environment. The purpos…
ConMAE: Contour Guided MAE for Unsupervised Vehicle Re-Identification
Jing Yang, Jianwu Fang, Hongke Xu
Vehicle re-identification is a cross-view search task by matching the same target vehicle from different perspectives. It serves an important role in road-vehicle collaboration and…
Cognitive Accident Prediction in Driving Scenes: A Multimodality Benchmark
Jianwu Fang, Lei-Lei Li, Kuan Yang +3
Traffic accident prediction in driving videos aims to provide an early warning of the accident occurrence, and supports the decision making of safe driving systems. Previous works…
Deep Virtual-to-Real Distillation for Pedestrian Crossing Prediction
Jie Bai, Xin Fang, Jianwu Fang +2
Pedestrian crossing is one of the most typical behavior which conflicts with natural driving behavior of vehicles. Consequently, pedestrian crossing prediction is one of the primar…
Heterogeneous Trajectory Forecasting via Risk and Scene Graph Learning
Jianwu Fang, Chen Zhu, Pu Zhang +2
Heterogeneous trajectory forecasting is critical for intelligent transportation systems, but it is challenging because of the difficulty of modeling the complex interaction relatio…
Behavioral Intention Prediction in Driving Scenes: A Survey
Jianwu Fang, Fan Wang, Jianru Xue +1
In the driving scene, the road agents usually conduct frequent interactions and intention understanding of the surroundings. Ego-agent (each road agent itself) predicts what behavi…
Using Detection, Tracking and Prediction in Visual SLAM to Achieve Real-time Semantic Mapping of Dynamic Scenarios
Xingyu Chen, Jianru Xue, Jianwu Fang +2
In this paper, we propose a lightweight system, RDS-SLAM, based on ORB-SLAM2, which can accurately estimate poses and build semantic maps at object level for dynamic scenarios in r…
Trajectory Forecasting from Detection with Uncertainty-Aware Motion Encoding
Pu Zhang, Lei Bai, Jianru Xue +3
Trajectory forecasting is critical for autonomous platforms to make safe planning and actions. Currently, most trajectory forecasting methods assume that object trajectories have b…
DCDLearn: Multi-order Deep Cross-distance Learning for Vehicle Re-Identification
Rixing Zhu, Jianwu Fang, Hongke Xu +2
Vehicle re-identification (Re-ID) has become a popular research topic owing to its practicability in intelligent transportation systems. Vehicle Re-ID suffers the numerous challeng…
DADA: Driver Attention Prediction in Driving Accident Scenarios
Jianwu Fang, Dingxin Yan, Jiahuan Qiao +2
Driver attention prediction is becoming an essential research problem in human-like driving systems. This work makes an attempt to predict the driver attention in driving accident…
DADA-2000: Can Driving Accident be Predicted by Driver Attention? Analyzed by A Benchmark
Jianwu Fang, Dingxin Yan, Jiahuan Qiao +3
Driver attention prediction is currently becoming the focus in safe driving research community, such as the DR(eye)VE project and newly emerged Berkeley DeepDrive Attention (BDD-A)…
BLVD: Building A Large-scale 5D Semantics Benchmark for Autonomous Driving
Jianru Xue, Jianwu Fang, Tao Li +4
In autonomous driving community, numerous benchmarks have been established to assist the tasks of 3D/2D object detection, stereo vision, semantic/instance segmentation. However, th…