LLVMCrive24
* *Large Language and Vision Models for Autonomous Driving
* Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles
* Drive Like a Human: Rethinking Autonomous Driving with Large Language Models
* FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data
* Human-Centric Autonomous Systems With LLMs for User Command Reasoning
* Latency Driven Spatially Sparse Optimization for Multi-Branch CNNs for Semantic Segmentation
* LIP-Loc: LiDAR Image Pretraining for Cross-Modal Localization
* NuScenes-MQA: Integrated Evaluation of Captions and QA for Autonomous Driving Datasets using Markup Annotations
* Safer Vision-Based Autonomous Planning System for Quadrotor UAVs with Dynamic Obstacle Trajectory Prediction and Its Application with LLMs, A
* Survey on Multimodal Large Language Models for Autonomous Driving, A
* VLAAD: Vision and Language Assistant for Autonomous Driving
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LLVMCrive26
* *Large Language and Vision Models for Autonomous Driving
LLVMDrive26
* 2COOOL: An Evaluation Benchmark for Generating Incident Reports on Out-of-Distribution Hazards in Autonomous Driving
* Benchmarking Vision-Language Models for Traffic Scene Understanding in Inclement Winter Weather: The AWDB Benchmark
* Efficient Visual Question Answering Pipeline for Autonomous Driving via Scene Region Compression
* FROST-Drive: Scalable and Efficient End-to-End Driving with a Frozen Vision Encoder
* GATEPose: A Graph Attention Transformer Enhanced with Pose and Orientation Angles for Pedestrian Crossing Intention Prediction
* Less is More: Agentic Prompt Design for Safe VLM Action Selection
* Lightweight Multi-Scale Fusion for Real-Time Autonomous Driving Segmentation
* Role of Language-Guidance in Knowledge Distillation for Semantic Segmentation Under Limited Field-Of-View Autonomous Driving
* Trust-Guided Multimodal LLM Integration with Reinforcement Learning for Autonomous Driving
* VLA4CoDrive: Vision-Language-Action Dataset for Cooperative Autonomous Driving
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