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.

Explore the Use of Time Series Foundation Model for Car-Following Behavior Analysis

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Jan 13, 2025
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On Learning Informative Trajectory Embeddings for Imitation, Classification and Regression

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Jan 16, 2025
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OpenLKA: an open dataset of lane keeping assist from market autonomous vehicles

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Jan 06, 2025
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Gaussian-Process-based Adaptive Tracking Control with Dynamic Active Learning for Autonomous Ground Vehicles

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Jan 24, 2025
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MutualForce: Mutual-Aware Enhancement for 4D Radar-LiDAR 3D Object Detection

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Jan 17, 2025
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DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation

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Nov 18, 2024
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ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving

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Dec 10, 2024
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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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