Skip to content

论文arXiv 2609.177661 个月前

DRT&R:直接雷达示教与复现 ​

原文链接:DRT&R: Direct Radar Teach & Repeat(arXiv 2609.17766 · 发布日期:2026-09-15)

DRT&R: Direct Radar Teach & Repeat

提出DRT&R,将直接雷达处理与局部建图结合,并在道路、越野数据和闭环自主导航中验证。

核心要点 ​

  • 雷达导航可耐受降水、尘雾和烟雾,但直接方法尚未用于越野或闭环系统。
  • DRT&R结合直接旋转雷达处理与局部建图,尽量保留视角相关信息。
  • 在344 km道路和20 km越野数据上,多数条件定位误差在4 cm内。
  • 在Clearpath Warthog上用MPC闭环自主超过10 km,实时运行并达到SOTA越野雷达跟踪性能。

验证范围与局限:验证范围包括道路与越野数据,以及一台Clearpath Warthog越野车的闭环实验。

英文摘要 (Abstract) ​

Radar-based navigation is appealing for its robustness to adverse conditions involving airborne particles, such as precipitation, dust, fog, and smoke, that can cause lidar-based systems to fail. Recently, direct methods that retain and use the entire radar scan rather than sparse points have improved on-road global localization performance. However, they have yet to be deployed in off-road environments or in closed-loop systems. Additionally, even direct global maps may lose information: their global nature leads to a smoothing out of viewpoint-dependent radar artifacts, which can provide pose information when mapping and localization occur along similar trajectories. This paper introduces Direct Radar Teach & Repeat (DRT&R): a direct spinning radar-based navigation stack that maximizes the amount of retained information by combining direct radar processing with local mapping. DRT&R yields state-of-the-art (SOTA) localization performance in both on-road and off-road environments. Using 344 km of on-road data and 20 km of off-road data, DRT&R is able to localize to within 4 cm in most on-road and off-road conditions, and 12 cm in geometrically degenerate and sparse environments. DRT&R is also evaluated autonomously in closed loop with an MPC controller for more than 10 km using a Clearpath Warthog off-road vehicle, demonstrating that it runs in real time and achieves SOTA tracking performance for off-road radar navigation.

作者:Alexander Krawciw, Daniil Lisus, Cédric Le Gentil, Timothy D. Barfoot

来源

本页事实对应的公开页面,以原文为准。

  1. arXiv 2609.17766:DRT&R: Direct Radar Teach & Repeat访问 2026-10-21