Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Pedestrian Prediction by Planning Using Deep Neural Networks
Intent-aware long-term prediction of pedestrian motion
Multispectral Pedestrian Detection using Deep Fusion Convolutional Neural Networks
Learning to Navigate: Exploiting Deep Networks to Inform Sample-Based Planning During Vision-Based Navigation
StepDeep: A Novel Spatial-temporal Mobility Event Prediction Framework based on Deep Neural Network
TraPlan: An Effective Three-in-One Trajectory-Prediction Model in Transportation Networks
Wiggling through complex traffic: Planning trajectories constrained by predictions
Deep Learning of Scene-Specific Classifier for Pedestrian Detection
Pedestrian Detection Based on YOLO Network Model
How Far are We from Solving Pedestrian Detection?
DeepTraffic: Driving Fast through Dense Traffic with Deep Reinforcement Learning
Robust Deep-Learning-Based Road-Prediction for Augmented Reality Navigation Systems at Night
A Scalable Framework for Trajectory Prediction
A Predictive Collision Avoidance Model for Pedestrian Simulation
Probabilistic vehicle trajectory prediction over occupancy grid map via recurrent neural network
Travel Speed Prediction with a Hierarchical Convolutional Neural Network and Long Short-Term Memory Model Framework
Occupancy Map Prediction Using Generative and Fully Convolutional Networks for Vehicle Navigation
An Evaluation of Trajectory Prediction Approaches and Notes on the TrajNet Benchmark
PCN: Part and Context Information for Pedestrian Detection with CNNs
Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation
People counting and pedestrian flow statistics based on convolutional neural network and recurrent neural network
Rituximab Maintenance Therapy After Autologous Stem-Cell Transplantation in Patients With Relapsed CD20+Diffuse Large B-Cell Lymphoma: Final Analysis of the Collaborative Trial in Relapsed Aggressive Lymphoma
pileptic seizure detection using multiwavelet transform based approximate ntropy and artificial neural networks
Constant-Rail-to-Rail CMOS Op-Amp Input Stage with Overlapped Transition Regions
Near-Optimal Reinforcement Learning in Polynomial Time
An on-chip wideband and low-loss duplexer for 3G/4G CMOS radios