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.

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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Knowledge Distillation Neural Network for Predicting Car-following Behaviour of Human-driven and Autonomous Vehicles

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Nov 08, 2024
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Research on vehicle detection based on improved YOLOv8 network

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Dec 31, 2024
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