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cs.CV2025

4D-RaDiff: Latent Diffusion for 4D Radar Point Cloud Generation

Jimmie Kwok, Holger Caesar, Andras Palffy

Automotive radar has shown promising developments in environment perception due to its cost-effectiveness and robustness in adverse weather conditions. However, the limited availab…

cs.RO2025

MobileOcc: A Human-Aware Semantic Occupancy Dataset for Mobile Robots

Junseo Kim, Guido Dumont, Xinyu Gao +3

Dense 3D semantic occupancy perception is critical for mobile robots operating in pedestrian-rich environments, yet it remains underexplored compared to its application in autonomo…

cs.CV2025

ShelfOcc: Native 3D Supervision beyond LiDAR for Vision-Based Occupancy Estimation

Simon Boeder, Fabian Gigengack, Simon Roesler +2

Recent progress in self- and weakly supervised occupancy estimation has largely relied on 2D projection or rendering-based supervision, which suffers from geometric inconsistencies…

cs.CV2025

BikeScenes: Online LiDAR Semantic Segmentation for Bicycles

Denniz Goren, Holger Caesar

The vulnerability of cyclists, exacerbated by the rising popularity of faster e-bikes, motivates adapting automotive perception technologies for bicycle safety. We use our multi-se…

cs.CV2025

Seeing Clearly, Forgetting Deeply: Revisiting Fine-Tuned Video Generators for Driving Simulation

Chun-Peng Chang, Chen-Yu Wang, Julian Schmidt +2

Recent advancements in video generation have substantially improved visual quality and temporal coherence, making these models increasingly appealing for applications such as auton…

cs.CV2025

ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving

Kai Chen, Ruiyuan Gao, Lanqing Hong +11

In this paper, we present details of the 1st W-CODA workshop, held in conjunction with the ECCV 2024. W-CODA aims to explore next-generation solutions for autonomous driving corner…