LaserPerception v0.1.0 Enhances LiDAR with TensorRT and ROS 2

TL;DR. A new open-source project, LaserPerception v0.1.0, offers reproducible 3D LiDAR detection using PointPillars, TensorRT, and ROS 2. - The project focuses on deployment and inference rather than model training, providing concrete performance benchmarks for real-world use. - It addresses computational inefficiencies in hard voxelization, a bottleneck for many lightweight detectors on large datasets. - Potential optimizations could significantly reduce processing time at the cost of deterministic output ordering in some cases.

• LaserPerception v0.1.0 is an open-source project for reproducible 3D LiDAR detection.
• It integrates PointPillars, TensorRT, and ROS 2 for efficient inference.
• The project includes deployment benchmarks and targets computational bottlenecks in voxelization.
• Proposed improvements could halve training iteration times, though some sacrifices determinism.

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