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.

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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eCARLA-scenes: A synthetically generated dataset for event-based optical flow prediction

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Dec 12, 2024
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