Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Quadcopter – Obstacle Detection and Collision Avoidance
Obstacle Detection and Collision Avoidance Using Ultrasonic Distance Sensors for an Autonomous Quadrocopter
Efficient safe corridor navigation with jerk limited trajectory for quadrotors
A survey on unmanned aerial vehicle collision avoidance systems
A sensor fusion methodology for obstacle avoidance robot
Vision based obstacle detection and collision risk estimation of an unmanned surface vehicle
Trajectory Generation and Control for Precise Aggressive Maneuvers with Quadrotors
Robot Vision: Obstacle-Avoidance Techniques for Unmanned Aerial Vehicles
A survey of collision avoidance approaches for unmanned aerial vehicles
Autonomous Approach and Landing for a Low-Cost Quadrotor Using Monocular Cameras
Polynomial Trajectory Planning for Aggressive Quadrotor Flight in Dense Indoor Environments
Feasible Computationally Efficient Path Planning for UAV Collision Avoidance
Scale-Aware Navigation of a Low-Cost Quadrocopter with a Monocular Camera
Vision-based detection and tracking of aerial targets for UAV collision avoidance
Real-time obstacle avoidance for manipu-lators and mobile robots
UAV Collision Avoidance Using RRT * and LOS Maximization Technical Report # CSSE 1203
Autonomous Flight for Detection, Localization, and Tracking of Moving Targets With a Small Quadrotor
Obstacle Avoidance Strategy using Onboard Stereo Vision on a Flapping Wing MAV
Modeling, Test Benches and Identification of a Quadcopter
Autonomous navigation of generic monocular quadcopter in natural environment
UAV Position Estimation and Collision Avoidance Using the Extended Kalman Filter
Software Development Cost Estimation Using Analogy: A Review
Declarative and Nondeclarative Memory: Multiple Brain Systems Supporting Learning and Memory
Quadrotor Using Minimal Sensing For Autonomous Indoor Flight
Deep CCA based super vector for action recognition
Child physical abuse and adult mental health: A national study