The paper focuses on the challenge of path planning in autonomous driving – finding the optimal path in complex, dynamic environments with many obstacles. The authors propose a two-stage path…
Continue readingThe paper introduces a new method, Diffusion-ES, that combines gradient-free optimization with trajectory denoising to optimize non-differentiable objectives. This method is particularly useful in autonomous driving scenarios. Diffusion-ES samples trajectories…
Continue readingThis paper presents ChatSim, a system that allows for the editing of photo-realistic 3D driving scene simulations via natural language commands. It addresses the challenges of user interaction efficiency, multi-camera…
Continue readingThis article presents a hybrid-prediction integrated planning (HPP) system for autonomous driving. The HPP system addresses three major challenges in the integration of prediction and planning modules: inherent trade-offs by…
Continue readingThe paper presents a Simple and efficient Motion Prediction baseLine (SIMPL) for autonomous vehicles. SIMPL provides real-time, accurate motion predictions for all relevant traffic participants. It does this through a…
Continue readingThe article presents LIP-Loc, a new method for cross-modal localization in autonomous driving applications. The approach involves using a batch of image and LiDAR data pairs to predict the correct…
Continue readingThe study proposes a LiDAR odometry method that leverages environmental landmarks to enhance pose estimation precision. It involves two sequential pose estimation stages: horizontal and vertical. The algorithm evaluates the…
Continue readingThe research article presents Drive-WM, a world model for autonomous driving. This model is designed to predict future events and evaluate potential risks, thus helping autonomous vehicles to better plan…
Continue readingThe article presents a new framework for single-source domain generalization in lane detection. This is important for autonomous vehicles to navigate and localize their position on the road. The framework…
Continue readingThe article by Jonathan Sadeghi et al. discusses the potential for adversarial perception errors in autonomous driving systems. These errors, despite scoring highly on perception quality metrics, can lead to…
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