#autonomous driving
23 papers · 1 filter
Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation
Danning Zhu, Ziyan Lin, Jing Wu
The paper introduces a mixed real‑synthetic dataset for object detection on Chinese rural roads and evaluates 13 popular detectors, finding that a moderate amount of synthetic data…
Risk-Aware Motion Planning with Learned Trajectory Primitives and Probabilistic Safety Assessment
Marc Kaufeld, Dian Zhuang, Johannes Betz
The paper proposes a motion planning framework for urban autonomous driving that uses a radial basis function network to generate jerk‑minimal trajectory primitives and evaluates t…
DVPSFormer: Efficient Online Depth-aware Video Panoptic Segmentation for Autonomous Driving
Yung-Hsu Yang, Luigi Piccinelli, Siyuan Li +8
DVPSFormer is an online architecture that jointly estimates metric depth, semantic segmentation, and instance trajectories for autonomous driving by using explicit scene discretiza…
RoGS: Adaptive Meshgrid Gaussian for Large-Scale Road Surface Mapping
Tianchen Deng, Zhiheng Feng, Wenhua Wu +4
The paper presents ROADGS-T, a framework that uses adaptive meshgrid Gaussian surfels to efficiently reconstruct large‑scale road surfaces for autonomous driving, improving detail…
WorkDrive: Roadwork Chain of Causation for Autonomous Driving
Tianyi Jiang, Wen Zhang, Sihan Yang +2
The paper introduces WorkDrive, a framework that adds perception‑grounded causal reasoning to vision‑language models for autonomous driving in roadwork zones, improving trajectory…
DRIFT: Drift and Aggregation for Motion Planning
Yining Xing, Zhiyuan Liu, Zehong Ke +2
The paper introduces DRIFT, a real‑time motion planner that creates multiple trajectory proposals in a compact latent space and directly aggregates them into a single executable pa…