The focus is on LiDAR SLAM applied to autonomous vehicles, which still strugle with real-world complexity. We identify the challenges in efficient environment representation, robust estimation over large state spaces, and real-time handling of the scene dynamics and diversified semantics. Some of ...
This paper discusses current developments and research on MEMS-based lidars. The LiDcAR project is introduced for bringing precise and reliable MEMS-based lidars to enable safe and reliable autonomous driving. As a part of development in this project, a test bench for the characterization and ...
Additionally, the volume of input data for object detection is very large, which makes it difficult to meet the real-time and high uncertainty requirements of autonomous driving. Therefore, it is necessary for autonomous driving to conduct further research and achieve reliable and real-time object ...
researchers, and industry, but for all who are passionate about LIDARs. It was a well-balanced mixture of photonics, optics, semiconductors, embedded systems, low-level and high-level software, and autonomous vehicles. The organizers, Microtech Ventures, not only managed to bring together the ...
Simon Ritchie, based in London is tracking the democratisation of Lidar Surveying, but his research shows that the pace is still slow, despite the emergence of the price crushing, autonomous vehicle market. Introduction Lidar has been used for land surveying for fifty years or more. In days gon...
As intelligent driving develops in China, especially highway/urban NOA having taken a “fast lane”, much more LiDARs are seen in vehicles. According to the latest data from ResearchInChina, from January to July 2023, 202,000 passenger cars in China were equipped with LiDAR as a standard OE...
本研究中使用的传感器是Velodyne HDL - 64E S3、Point Gray Research公司的Grashhopper 2 GS2 - GE - 50S 5C - C摄像机和Axis通信P1214 - E网络摄像机。传感器融合以10Hz运行,与LiDAR同步。每个融合数据对的目标检测推断时间约为250毫秒。优化框架,如NVIDIA的TenSORT [ 23,可能会大大减少推理时间。
AV Brandis,D Menges,A Rasheed - 《Applied Ocean Research》 被引量: 0发表: 2025年 Multi-Object Tracking using Poisson Multi-Bernoulli Mixture Filtering for Autonomous Vehicles The main challenges for multi-object tracking (MOT) in autonomous driving applications reside in the inherent uncertainties re...
As several research vehicles for autonomous driving vehicles, e.g., Google car, use LIDAR as basic sensor technology for scanning the environment, there is an increase in development activities for LIDAR sensors meeting automotive requirements (cost, performance, reliability). Parking assistance systems...
Recently released research about deep learning applications related to perception for autonomous driving focuses heavily on the usage of LiDAR point cloud ... P Melo-Pinto - 《Sensors》 被引量: 0发表: 2021年 加载更多来源期刊 Asian Journal of Control 2021/03/01 研究点推荐 3D LiDAR 3D Light ...