11 accepted papers
To increase the safety and reliability of autonomous driving systems in complex traffic environments, this paper proposes a novel 3D multiobject tracking (MOT) method that integrates center-plane adaptive multisensor fusion, motion compensation, and multilevel data association. Unlike traditional me…
We present a skill-based shared autonomy approach that addresses the policy blending problem by adaptively arbitrating control between human input and autonomous assistance. Our method uses Bayesian inference to continuously assess user skill from their control inputs and task performance, enabling
Batch Bayesian Optimisation (BBO) has emerged as a potent approach for optimising expensive black-box functions. Central to BBO is the issue of selecting a number of solutions at the same time through a batch method, in the hope for them to represent good, yet different, trade-offs between exploitat…
Sampling-based stochastic optimal control has become an appealing robotic control framework due to its ability to handle complex and general forms of dynamics models and task specifications. Although sampling-based methods have been shown successful in a variety of single-robot control tasks, studie
Medical texts are notoriously challenging to read. Properly measuring their readability is the first step towards making them more accessible. Here, we present the first systematic study on fine-grained readability measurements in the medical domain, at both sentence-level and span-level. We first i…
Translating training data into many languages has emerged as a practical solution for improving cross-lingual transfer. For tasks that involve span-level annotations, such as information extraction or question answering, an additional label projection step is required to map annotated spans onto the…
This paper addresses the quality issues in existing Twitter-based paraphrase datasets, and discusses the necessity of using two separate definitions of paraphrase for identification and generation tasks. We present a new Multi-Topic Paraphrase in Twitter (MultiPIT) corpus that consists of a total of…
Scientific publications are the primary means to communicate research discoveries, where the writing quality is of crucial importance. However, prior work studying the human editing process in this domain mainly focused on the abstract or introduction sections, resulting in an incomplete picture. In…
Monolingual word alignment is important for studying fine-grained editing operations (i.e., deletion, addition, and substitution) in text-to-text generation tasks, such as paraphrase generation, text simplification, neutralizing biased language, etc. In this paper, we present a novel neural semi-Mar…
For remaining useful lifetime (RUL) prediction with multi-channel sensory data, long-term prediction has more uncertainty than short-term prediction. In this paper, the ratio of mean to variance was considered to measure the uncertainty propagation rate (UPR) of RUL prediction over time. Furthermore…
Due to the faster-is-slower phenomenon in emergency escape, it is desirable to regulate pedestrian flow at the exit or a bottleneck. Modification of pedestrian facilities was previously studied to increase the efficiency and safety by the transportation community. We propose a robot-assisted pedestr…