Monika Sester | DeepAI

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∙ 02/27/2023

LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints

Trajectory prediction for autonomous driving must continuously reason th...

0 Mengmeng Liu, et al. ∙

∙ 02/15/2023

ForceFormer: Exploring Social Force and Transformer for Pedestrian Trajectory Prediction

Predicting trajectories of pedestrians based on goal information in high...

0 Weicheng Zhang, et al. ∙

∙ 02/06/2023

Generating Evidential BEV Maps in Continuous Driving Space

Safety is critical for autonomous driving, and one aspect of improving s...

0 Yunshuang Yuan, et al. ∙

∙ 12/14/2022

Gaussian Process Mapping of Uncertain Building Models with GMM as Prior

Mapping with uncertainty representation is required in many research dom...

0 Qianqian Zou, et al. ∙

∙ 09/16/2022

GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model

Trajectory prediction has been a long-standing problem in intelligent sy...

0 Hao Cheng, et al. ∙

∙ 05/19/2022

Leveraging Dynamic Objects for Relative Localization Correction in a Connected Autonomous Vehicle Network

High-accurate localization is crucial for the safety and reliability of ...

0 Yunshuang Yuan, et al. ∙

∙ 05/18/2022

Improving Pedestrian Priority via Grouping and Virtual Lanes

The shared space design is applied in urban streets to support barrier-f...

0 Yao Li, et al. ∙

∙ 03/17/2022

An Explainable Stacked Ensemble Model for Static Route-Free Estimation of Time of Arrival

To compare alternative taxi schedules and to compute them, as well as to...

0 Sören Schleibaum, et al. ∙

∙ 09/23/2021

Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving

Sharing collective perception messages (CPM) between vehicles is investi...

0 Yunshuang Yuan, et al. ∙

∙ 06/11/2021

Improving Take-over Situation by Active Communication

In this short paper an idea is sketched, how to support drivers of an au...

0 Monika Sester, et al. ∙

∙ 05/09/2021

Interaction Detection Between Vehicles and Vulnerable Road Users: A Deep Generative Approach with Attention

Intersections where vehicles are permitted to turn and interact with vul...

22 Hao Cheng, et al. ∙

∙ 10/30/2020

Exploring Dynamic Context for Multi-path Trajectory Prediction

To accurately predict future positions of different agents in traffic sc...

0 Hao Cheng, et al. ∙

∙ 06/15/2020

AMENet: Attentive Maps Encoder Network for Trajectory Prediction

Trajectory prediction is a crucial task in different communities, such a...

0 Hao Cheng, et al. ∙

∙ 02/14/2020

MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed Traffic

Trajectory prediction in urban mixed-traffic zones (a.k.a. shared spaces...

0 Hao Cheng, et al. ∙

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