SmartLiDAR, an advanced LiDAR system that enhances scanning efficiency and performance by adaptively optimizing scan focus through an intelligent, softwaredefined micro-mirror controller. Unlike traditional systems, SmartLiDAR dynamically adjusts its scan pattern based on environmental characteristics and application-specific requirements, concentrating sample points on key objects without increasing power consumption or scan time.
The core concept of αLiDAR is to expand the operational freedom of a LiDAR sensor through the incorporation of a controllable, active rotational mechanism. This modification allows the sensor to scan previously inaccessible blind spots and focus on specific areas of interest in an adaptive manner.
Soar, the first end-to-end SRI system specifically designed to support autonomous driving systems. Soar consists of both software and hardware components carefully designed to overcome various system and physical challenges.
VILAM, a novel framework that leverages intelligent roadside infrastructures to realize high-precision and globally consistent localization and mapping on autonomous vehicles. VILAM utilize the scene measurement from the infrastructure to correct errors in the vehicle map.
The core concept of VIMap is to exploit the unique cumulative observations made
by roadside infrastructure to build and maintain an accurate and current HD map. This HD map is then fused with
on-vehicle HD maps in real time, resulting in a more comprehensive and up-to-date HD map.
VIPS, a novel lightweight system that can achieve decimeter-level and real-time (up to 100 ms) perception fusion between driving vehicles and roadside infrastructure. The key idea of VIPS is to exploit highly efficient matching of graph structures that encode objects’ lean representations as well as their relationships.