Blog
Dynamic Intent Queries for Motion Transformer-based Trajectory Prediction
In autonomous driving, accurately predicting the movements of other traffic participants is crucial, as it significantly influences a vehicle’s planning processes. Modern trajectory prediction models strive to interpret complex patterns and dependencies from agent and map data. The Motion Transformer (MTR) architecture...
Distributed model predictive control without terminal cost under inexact distributed optimization
This paper presents a novel distributed model predictive control (MPC) formulation without terminal cost and a corresponding distributed synthesis approach for distributed linear discrete-time systems with coupled constraints. The proposed control scheme introduces an explicit stability condition as an additional constraint based...
Multi-Scale Tensorial Summation and Dimensional Reduction Guided Neural Network for Edge Detection
Edge detection has attracted considerable attention thanks to its exceptional ability to enhance performance in downstream computer vision tasks. In recent years, various deep learning methods have been explored for edge detection tasks resulting in a significant performance improvement compared to conventional...
Performance Analysis of IEEE 802.11bn Non-Primary Channel Access
This paper presents a performance analysis of the Non-Primary Channel Access (NPCA) mechanism, a new feature introduced in IEEE 802.11bn to enhance spectrum utilization in Wi-Fi networks. NPCA enables devices to contend for and transmit on the secondary channel when the primary...
Rings whose mininjective modules are injective
The main goal of this paper is to characterize rings over which the mininjective modules are injective, so that the classes of mininjective modules and injective modules coincide. We show that these rings are precisely those Noetherian rings for which every min-flat...
A Stochastic Lattice Model for Convective Self-aggregation Incorporating Longwave Radiative Effect
Self-aggregation of tropical convection is a universal feature observed in a diverse range of atmospheric environments. Several preceding models conceptualized the self-aggregation of convection as a phase transition driven by collisions between cold pool gust fronts. However, self-aggregation may also be influenced...
Microstructure and Manipulation: Quantifying Pump-and-Dump Dynamics in Cryptocurrency Markets
Building on our prior threshold-based analysis of six months of Poloniex trading data, we have extended both the temporal span and granularity of our study by incorporating minute-level OHLCV records for 1021 tokens around each confirmed pump-and-dump event. First, we algorithmically identify...
Spontaneous stochasticity and the Armstrong-Vicol passive scalar
Spontaneous stochasticity refers to the emergence of intrinsic randomness in deterministic systems under singular limits, a phenomenon conjectured to be fundamental in turbulence. Armstrong and Vicol \citep{AV23,AV24} recently constructed a deterministic, divergence-free multiscale vector field arbitrarily close to a weak Euler solution,...
Finite time max-consensus for simultaneous target interception in switching graph topologies
In this paper, we propose a distributed guidance law for the simultaneous interception of a stationary target. For a group of `n’ heterogeneous pursuers, the proposed guidance law establishes the necessary conditions on static graphs that ensure simultaneous target interception, regardless of...
No-Regret Model Predictive Control with Online Learning of Koopman Operators
We study a problem of simultaneous system identification and model predictive control of nonlinear systems. Particularly, we provide an algorithm for systems with unknown residual dynamics that can be expressed by Koopman operators. Such residual dynamics can model external disturbances and modeling...