Zobrazeno 1 - 10
of 299
pro vyhledávání: '"Sun, Liting"'
Autor:
Hao, Ce, Tang, Chen, Bergkvist, Eric, Weaver, Catherine, Sun, Liting, Zhan, Wei, Tomizuka, Masayoshi
Autonomous racing has become a popular sub-topic of autonomous driving in recent years. The goal of autonomous racing research is to develop software to control the vehicle at its limit of handling and achieve human-level racing performance. In this
Externí odkaz:
http://arxiv.org/abs/2211.09378
Autor:
Roelofs, Rebecca, Sun, Liting, Caine, Ben, Refaat, Khaled S., Sapp, Ben, Ettinger, Scott, Chai, Wei
As machine learning models become increasingly prevalent in motion forecasting for autonomous vehicles (AVs), it is critical to ensure that model predictions are safe and reliable. However, exhaustively collecting and labeling the data necessary to f
Externí odkaz:
http://arxiv.org/abs/2207.03586
While autonomous vehicles still struggle to solve challenging situations during on-road driving, humans have long mastered the essence of driving with efficient, transferable, and adaptable driving capability. By mimicking humans' cognition model and
Externí odkaz:
http://arxiv.org/abs/2202.05140
Autor:
Yang, Zhengyang, Ma, Jingxin, Han, Jiagang, Li, Ang, Liu, Gang, Sun, Yi, Zheng, Jianyong, Zhang, Jie, Chen, Guangyong, Xu, Rui, Sun, Liting, Meng, Cong, Gao, Jiale, Bai, Zhigang, Deng, Wei, Zhang, Chenlin, Su, Jianrong, Yao, Hongwei, Zhang, Zhongtao
Publikováno v:
In Med 11 October 2024 5(10):1293-1306
When autonomous vehicles still struggle to solve challenging situations during on-road driving, humans have long mastered the essence of driving with efficient transferable and adaptable driving capability. By mimicking humans' cognition model and se
Externí odkaz:
http://arxiv.org/abs/2111.00788
An outstanding challenge with safety methods for human-robot interaction is reducing their conservatism while maintaining robustness to variations in human behavior. In this work, we propose that robots use confidence-aware game-theoretic models of h
Externí odkaz:
http://arxiv.org/abs/2109.14700
A human-centered robot needs to reason about the cognitive limitation and potential irrationality of its human partner to achieve seamless interactions. This paper proposes an anytime game-theoretic planner that integrates iterative reasoning models,
Externí odkaz:
http://arxiv.org/abs/2109.12490
We propose an imitation learning system for autonomous driving in urban traffic with interactions. We train a Behavioral Cloning~(BC) policy to imitate driving behavior collected from the real urban traffic, and apply the data aggregation algorithm t
Externí odkaz:
http://arxiv.org/abs/2109.01288
Microscopic epidemic models are powerful tools for government policy makers to predict and simulate epidemic outbreaks, which can capture the impact of individual behaviors on the macroscopic phenomenon. However, existing models only consider simple
Externí odkaz:
http://arxiv.org/abs/2108.06589
Motion planning under uncertainty is of significant importance for safety-critical systems such as autonomous vehicles. Such systems have to satisfy necessary constraints (e.g., collision avoidance) with potential uncertainties coming from either dis
Externí odkaz:
http://arxiv.org/abs/2108.06533