Next-Gen 3D Detection: Challenges, Innovations & Future Directions

2 Mar 2025

Discover how Panopticus aims to evolve with multi-tasking support, optimized AI resource allocation, and enhanced 3D detection metrics.

Advancements in Adaptive and 3D Object Detection for Edge AI

2 Mar 2025

Explore how Panopticus redefines omnidirectional 3D object detection by optimizing resource efficiency.

Evaluating Panopticus: Performance, Robustness, and Component Analysis

2 Mar 2025

Panopticus achieves superior 3D object detection performance, reducing latency by up to 5.2× while increasing accuracy by 62% in real-world scenarios.

Edge Devices Are Getting Better at Seeing the World in 3D

2 Mar 2025

Panopticus employs a multi-branch 3D detection model to optimize object tracking, memory, and latency for edge devices with real-time depth estimation.

How Panopticus Uses AI to Detect Objects in 3D

2 Mar 2025

Panopticus leverages CUDA, TensorRT, and PyTorch to optimize multi-branch 3D object detection, ensuring high accuracy and efficient real-time inference.

Optimizing AI for Real-Time Object Tracking

2 Mar 2025

Panopticus optimizes 3D object detection by dynamically selecting inference branches using spatial-adaptive execution and real-time scheduling.

Efficient 3D Object Detection for Edge Devices

2 Mar 2025

Panopticus is an omnidirectional 3D object detection system optimizing accuracy and latency for edge devices with adaptive inference scheduling.

Optimizing Omnidirectional 3D Object Detection for Edge AI

2 Mar 2025

Optimizing BEVDet-based 3D object detection for real-time AI navigation, balancing accuracy and latency while adapting to dynamic environments.

How 3D Object Detection Helps AI Avoid Obstacles

2 Mar 2025

Omnidirectional 3D object detection enhances AI-driven navigation using BEV-based models, improving obstacle avoidance with real-time depth estimation.