Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Modeling and Tracking the Driving Environment With a Particle-Based Occupancy Grid
Robust Driving Path Detection in Urban and Highway Scenarios Using a Laser Scanner and Online Occupancy Grids
Simultaneous Localization and Mapping: A Survey of Current Trends in Autonomous Driving
Extracting Semantic Indoor Maps from Occupancy Grids
Geometric path tracking algorithm for autonomous driving in pedestrian environment
Multi-volume occupancy grids: An efficient probabilistic 3D mapping model for micro aerial vehicles
Static Free Space Detection with Laser Scanner using Occupancy Grid Maps
Moving vehicle detection and tracking in unstructured environments
Spatiotemporal state lattices for fast trajectory planning in dynamic on-road driving scenarios
Local path planning in a complex environment for self-driving car
On-Road Multivehicle Tracking Using Deformable Object Model and Particle Filter With Improved Likelihood Estimation
Traffic Scene Prediction via Deep Learning: Introduction of Multi-Channel Occupancy Grid Map as a Scene Representation
Stereovision-Based Multiple Object Tracking in Traffic Scenarios Using Free-Form Obstacle Delimiters and Particle Filters
Augmented vehicle tracking under occlusions for decision-making in autonomous driving
Open Source Integrated Planner for Autonomous Navigation in Highly Dynamic Environments
On-Road Motion Planning for Autonomous Vehicles
An Occupancy Grid Map Merging Algorithm Invariant to Scale, Rotation and Translation
Generating topological map from occupancy grid-map using virtual door detection
Model Based Vehicle Detection and Tracking for Autonomous Urban Driving
iPark: identifying parking spaces from trajectories
Optimisation based path planning for car parking in narrow environments
Interpreting and Explaining Deep Neural Networks for Classification of Audio Signals
Putting egocentric and allocentric into perspective
Information and food blogging as serious leisure
Kalman filter-based algorithms for estimating depth from image sequences
Orientation robust object detection in aerial images using deep convolutional neural network