autonomous cars


Autonomous cars are self-driving vehicles that use artificial intelligence (AI) and sensors to navigate and operate without human intervention, using high-resolution cameras and lidars that detect what happens in the car's immediate surroundings. They have the potential to revolutionize transportation by improving safety, efficiency, and accessibility.

Robust 3D Semantic Occupancy Prediction with Calibration-free Spatial Transformation

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Nov 19, 2024
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RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression

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Jan 21, 2025
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Open-World Panoptic Segmentation

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Dec 17, 2024
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Data Fusion of Semantic and Depth Information in the Context of Object Detection

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Dec 04, 2024
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DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing

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Nov 20, 2024
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Reference-Free Formula Drift with Reinforcement Learning: From Driving Data to Tire Energy-Inspired, Real-World Policies

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Oct 28, 2024
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FollowGen: A Scaled Noise Conditional Diffusion Model for Car-Following Trajectory Prediction

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Nov 23, 2024
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Enhancing autonomous vehicle safety in rain: a data-centric approach for clear vision

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Dec 29, 2024
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CARLA2Real: a tool for reducing the sim2real gap in CARLA simulator

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Oct 23, 2024
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COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving

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Dec 06, 2024
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