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08/30/2023
Vision-Based Traffic Accident Detection and Anticipation: A Survey
Traffic accident detection and anticipation is an obstinate road safety ...
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06/25/2023
Enhancing Mapless Trajectory Prediction through Knowledge Distillation
Scene information plays a crucial role in trajectory forecasting systems...
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04/10/2023
Learning Residual Model of Model Predictive Control via Random Forests for Autonomous Driving
One major issue in learning-based model predictive control (MPC) for aut...
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04/07/2023
UAV Obstacle Avoidance by Human-in-the-Loop Reinforcement in Arbitrary 3D Environment
This paper focuses on the continuous control of the unmanned aerial vehi...
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03/29/2023
FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-tail Trajectory Prediction
Predicting the future trajectories of the traffic agents is a gordian te...
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12/19/2022
Cognitive Accident Prediction in Driving Scenes: A Multimodality Benchmark
Traffic accident prediction in driving videos aims to provide an early w...
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11/02/2022
Deep Virtual-to-Real Distillation for Pedestrian Crossing Prediction
Pedestrian crossing is one of the most typical behavior which conflicts ...
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11/02/2022
Heterogeneous Trajectory Forecasting via Risk and Scene Graph Learning
Heterogeneous trajectory forecasting is critical for intelligent transpo...
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11/01/2022
Behavioral Intention Prediction in Driving Scenes: A Survey
In the driving scene, the road participants usually show frequent intera...
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10/10/2022
Using Detection, Tracking and Prediction in Visual SLAM to Achieve Real-time Semantic Mapping of Dynamic Scenarios
In this paper, we propose a lightweight system, RDS-SLAM, based on ORB-S...
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10/10/2022
Sparse Semantic Map-Based Monocular Localization in Traffic Scenes Using Learned 2D-3D Point-Line Correspondences
Vision-based localization in a prior map is of crucial importance for au...
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02/03/2022
Trajectory Forecasting from Detection with Uncertainty-Aware Motion Encoding
Trajectory forecasting is critical for autonomous platforms to make safe...
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11/07/2021
Multi-Scale Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition
Skeleton data is of low dimension. However, there is a trend of using ve...
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03/25/2020
DCDLearn: Multi-order Deep Cross-distance Learning for Vehicle Re-Identification
Vehicle re-identification (Re-ID) has become a popular research topic ow...
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12/18/2019
DADA: A Large-scale Benchmark and Model for Driver Attention Prediction in Accidental Scenarios
Driver attention prediction has recently absorbed increasing attention i...
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09/03/2019
EleAtt-RNN: Adding Attentiveness to Neurons in Recurrent Neural Networks
Recurrent neural networks (RNNs) are capable of modeling temporal depend...
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04/23/2019
DADA-2000: Can Driving Accident be Predicted by Driver Attention? Analyzed by A Benchmark
Driver attention prediction is currently becoming the focus in safe driv...
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04/02/2019
Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition
Skeleton-based human action recognition has attracted a lot of interests...
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03/15/2019
BLVD: Building A Large-scale 5D Semantics Benchmark for Autonomous Driving
In autonomous driving community, numerous benchmarks have been establish...
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03/07/2019
SR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory Prediction
In crowd scenarios, reliable trajectory prediction of pedestrians requir...
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07/12/2018
Adding Attentiveness to the Neurons in Recurrent Neural Networks
Recurrent neural networks (RNNs) are capable of modeling the temporal dy...
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05/22/2018
Deep Feature Aggregation with Heat Diffusion for Image Retrieval
Image-level feature descriptors obtained from convolutional neural netwo...
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05/22/2018
Image Retrieval using Heat Diffusion for Deep Feature Aggregation
Image-level feature descriptors obtained from convolutional neural netwo...
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04/20/2018
View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition
Skeleton-based human action recognition has recently attracted increasin...
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03/24/2017
View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data
Skeleton-based human action recognition has recently attracted increasin...
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04/05/2016