AYDIV: Adaptable Yielding 3D Object Detection via Integrated Contextual Vision Transformer

1 code implementation • 12 Feb 2024 • Tanmoy Dam, Sanjay Bhargav Dharavath, Sameer Alam, Nimrod Lilith, Supriyo Chakraborty, Mir Feroskhan

Combining LiDAR and camera data has shown potential in enhancing short-distance object detection in autonomous driving systems.

3D Object Detection Autonomous Driving +1

Vision-based Learning for Drones: A Survey

no code implementations • 8 Dec 2023 • Jiaping Xiao, Rangya Zhang, Yuhang Zhang, Mir Feroskhan

Drones as advanced cyber-physical systems are undergoing a transformative shift with the advent of vision-based learning, a field that is rapidly gaining prominence due to its profound impact on drone autonomy and functionality.

Decision Making

Learning Multi-Pursuit Evasion for Safe Targeted Navigation of Drones

2 code implementations • 7 Apr 2023 • Jiaping Xiao, Mir Feroskhan

Safe navigation of drones in the presence of adversarial physical attacks from multiple pursuers is a challenging task.

Collaborative Target Search with a Visual Drone Swarm: An Adaptive Curriculum Embedded Multistage Reinforcement Learning Approach

2 code implementations • 26 Apr 2022 • Jiaping Xiao, Phumrapee Pisutsin, Mir Feroskhan

Equipping drones with target search capabilities is highly desirable for applications in disaster rescue and smart warehouse delivery systems.

Management