Modeling Drivers' Risk Perception via Attention to Improve Driving Assistance

7 September 2024

Papers citing "Modeling Drivers' Risk Perception via Attention to Improve Driving Assistance"

6 / 6 papers shown

Title
PlanT: Explainable Planning Transformers via Object-Level Representations Katrin Renz Kashyap Chitta Otniel-Bogdan Mercea A. Sophia Koepke Zeynep Akata Andreas Geiger ViT 94 99 0 25 Oct 2022
Is Pseudo-Lidar needed for Monocular 3D Object detection? Dennis Park Rares Andrei Ambrus Vitor Campagnolo Guizilini Jie Li Adrien Gaidon MDE 3DPC 97 319 0 13 Aug 2021
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset Scott Ettinger Shuyang Cheng Benjamin Caine Chenxi Liu Hang Zhao ... Jiquan Ngiam Vijay Vasudevan Alexander McCauley Jonathon Shlens Drago Anguelov 192 566 0 20 Apr 2021
Learning to Track with Object Permanence P. Tokmakov Jie Li Wolfram Burgard Adrien Gaidon VOT 91 206 0 26 Mar 2021
Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction Luca Thiede P. Brahma 63 62 0 23 Jul 2019
Predicting the Driver's Focus of Attention: the DR(eye)VE Project Andrea Palazzi Davide Abati Simone Calderara Francesco Solera Rita Cucchiara 68 253 0 10 May 2017