7 accepted papers
Generating reliable local guidance information is crucial for autonomous navigation in unstructured environments with limited prior information. Conventional approaches often fuse navigation cues with different physical semantics into a single scalar objective through manually weighted cost terms, m
In the field of autonomous driving, constructing high-precision maps, typically represented as 3D point cloud maps or bird's-eye view (BEV) grid maps, is essential for both offline and online applications. However, the presence of dynamic objects within a scene can introduce artifacts and noise that…
Considering the potential of using multi-frame information to solve the occlusion problem, we introduce a novel idea of multi-frame information integration, which uses the attention mechanism to fuse the temporal information from the previous frame. The idea can effectively improve the estimation ac
In the field of autonomous driving, constructing high-precision maps, typically represented as 3D point cloud maps or bird's-eye view (BEV) grid maps, is essential for both offline and online applications. However, the presence of dynamic objects within a scene can introduce artifacts and noise that
Achieving reliable and safe autonomous driving in off-road environments requires accurate and efficient terrain traversability analysis. However, this task faces several challenges, including the scarcity of large-scale datasets tailored for off-road scenarios, the high cost and potential errors of
Generative models are gaining momentum in both academic and industrial applications driven by the availability of large-scale datasets, especially in tasks involving Image-to-Image Translation. Meanwhile, poor human perception of nighttime environment has led to a demand for translation from night-v…
In this paper, we propose a multi-environment, multi-LiDAR, multi-task dataset to promote the grid map-based navigation capability for autonomous vehicles. The dataset comprises structured and unstructured environmental data captured by different types of LiDAR and contains various challenging scena