SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

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Showing 551–600 of 2605 papers

TitleStatusHype
Range and Angle Estimation with Spiking Neural Resonators for FMCW Radar—0
HiMo: High-Speed Objects Motion Compensation in Point Clouds—0
QDCNN: Quantum Deep Learning for Enhancing Safety and Reliability in Autonomous Transportation Systems—0
Dynamically Local-Enhancement Planner for Large-Scale Autonomous Driving—0
Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving with Cognitive Insights—0
Constrained Generative Modeling with Manually Bridged Diffusion Models—0
CoopDETR: A Unified Cooperative Perception Framework for 3D Detection via Object Query—0
A Real-time Spatio-Temporal Trajectory Planner for Autonomous Vehicles with Semantic Graph Optimization—0
CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems—0
Between Innovation and Oversight: A Cross-Regional Study of AI Risk Management Frameworks in the EU, U.S., UK, and China—0
Automatic Vehicle Detection using DETR: A Transformer-Based Approach for Navigating Treacherous Roads—0
IBURD: Image Blending for Underwater Robotic Detection—0
Cross-Model Transferability of Adversarial Patches in Real-time Segmentation for Autonomous DrivingCode0
A Multi-Scale Isolation Forest Approach for Real-Time Detection and Filtering of FGSM Adversarial Attacks in Video Streams of Autonomous Vehicles—0
A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments—0
BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory PredictionCode0
Deep learning based infrared small object segmentation: Challenges and future directions—0
Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration—0
Multi-Objective Reinforcement Learning for Critical Scenario Generation of Autonomous Vehicles—0
Towards Robust and Secure Embodied AI: A Survey on Vulnerabilities and Attacks—0
Collaboration Between the City and Machine Learning Community is Crucial to Efficient Autonomous Vehicles Routing—0
AI Generations: From AI 1.0 to AI 4.0—0
V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multi-Modal Large Language Models—0
Safe platooning control of connected and autonomous vehicles on curved multi-lane roads—0
Mind the Gaps: Logical English, Prolog, and Multi-agent Systems for Autonomous Vehicles—0
AdvSwap: Covert Adversarial Perturbation with High Frequency Info-swapping for Autonomous Driving Perception—0
Predictive Planner for Autonomous Driving with Consistency Models—0
Deep Reinforcement Learning-Based User Scheduling for Collaborative Perception—0
Poly-Autoregressive Prediction for Modeling Interactions—0
Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning—0
Vision-Language Models for Edge Networks: A Comprehensive Survey—0
Fine-Tuning Federated Learning-Based Intrusion Detection Systems for Transportation IoT—0
Motion Forecasting for Autonomous Vehicles: A Survey—0
CacheMamba: Popularity Prediction for Mobile Edge Caching Networks via Selective State Spaces—0
DistrEE: Distributed Early Exit of Deep Neural Network Inference on Edge Devices—0
Bridging the inference gap in Mutimodal Variational Autoencoders—0
OneTrack-M: A multitask approach to transformer-based MOT models—0
Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses—0
Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach—0
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges—0
MAGNNET: Multi-Agent Graph Neural Network-based Efficient Task Allocation for Autonomous Vehicles with Deep Reinforcement Learning—0
Uncertainty Quantification for Collaborative Object Detection Under Adversarial Attacks—0
Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator—0
Semantic Communication based on Generative AI: A New Approach to Image Compression and Edge Optimization—0
An Optimal Cascade Feature-Level Spatiotemporal Fusion Strategy for Anomaly Detection in CAN Bus—0
ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition—0
SpikingRTNH: Spiking Neural Network for 4D Radar Object Detection—0
Distributed Observer Design for Tracking Platoon of Connected and Autonomous Vehicles—0
DISC: Dataset for Analyzing Driving Styles In Simulated Crashes for Mixed Autonomy—0
The Components of Collaborative Joint Perception and Prediction -- A Conceptual Framework—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified