Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: A WiFi-based method to count and locate pedestrians in urban traffic scenarios
Estimating crowd densities and pedestrian flows using wi-fi and bluetooth
Pedestrian detection and tracking with night vision
Pedestrian Dead Reckoning : A Basis for Personal Positioning
A Deep Learning Approach for Wi-Fi Based People Localization
Counting Pedestrians in Crowds Using Viewpoint Invariant Training
Exploiting LIDAR-based features on pedestrian detection in urban scenarios
Walk detection and step counting on unconstrained smartphones
LTE-based passive device-free crowd density estimation
How Far are We from Solving Pedestrian Detection?
LIDAR and vision-based pedestrian detection system
Improving pedestrian detection
Multi-pedestrian detection in crowded scenes: A global view
Information fusion to detect and classify pedestrians using invariant features
Heading Estimation for Indoor Pedestrian Navigation Using a Smartphone in the Pocket
Multi-cue Pedestrian Detection and Tracking from a Moving Vehicle
A shape-independent method for pedestrian detection with far-infrared images
Electronic frog eye: Counting crowd using WiFi
Aggregated channels network for real-time pedestrian detection
A data-driven approach for pedestrian intention estimation
Real-time detection and tracking of pedestrians in CCTV images using a deep convolutional neural network
A Universally Unique IDentifier ( UUID ) URN Namespace
Analysis on the influence of three-axis turntable nonorthogonal error on gyro calibration of SINS
Augmented Reality Textbook for Future Blended Education
SemEval 2018 Task 4: Character Identification on Multiparty Dialogues
A direct scattering model for tracking vehicles with high-resolution radars