Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Pedestrian classification in automotive radar systems
Pedestrian detection procedure integrated into an 24 GHz automotive radar
Pedestrian detection from a moving vehicle
Survey of Pedestrian Detection for Advanced Driver Assistance Systems
Pedestrian detection and tracking using in-vehicle lidar for automotive application
Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection
A Pedestrian Detector Using Histograms of Oriented Gradients and a Support Vector Machine Classifier
Fast and Efficient Pedestrian Detection via the Cascade Implementation of an Additive Kernel Support Vector Machine
Deep Learning of Scene-Specific Classifier for Pedestrian Detection
Pedestrian Recognition Using High-definition LIDAR
Modification of DBSCAN and application to range/Doppler/DoA measurements for pedestrian recognition with an automotive radar system
Pedestrian Detection: An Evaluation of the State of the Art
Robust Pedestrian Classification Based on Hierarchical Kernel Sparse Representation
A Multilevel Mixture-of-Experts Framework for Pedestrian Classification
Information fusion to detect and classify pedestrians using invariant features
On Color-, Infrared-, and Multimodal-Stereo Approaches to Pedestrian Detection
High resolution automotive radar measurements of vulnerable road users – pedestrians & cyclists
Real-Time Pedestrian Detection and Tracking at Nighttime for Driver-Assistance Systems
Ten Years of Pedestrian Detection, What Have We Learned?
Efficient pedestrian detection in urban traffic scenes
Road-Condition Recognition Using 24-GHz Automotive Radar
An empirical comparison of pie vs. linear menus
Learning Binary Residual Representations for Domain-specific Video Streaming
Inductive learning algorithms and representations for text categorization
Biosynthesis And Production Of Sophorolipids
Demystifying magic: high-level low-level programming