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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–225 of 2605 papers

TitleStatusHype
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
GaussRender: Learning 3D Occupancy with Gaussian RenderingCode2
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
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges—0
Uncertainty Quantification for Collaborative Object Detection Under Adversarial Attacks—0
MAGNNET: Multi-Agent Graph Neural Network-based Efficient Task Allocation for Autonomous Vehicles with Deep Reinforcement Learning—0
Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach—0
From Words to Collisions: LLM-Guided Evaluation and Adversarial Generation of Safety-Critical Driving ScenariosCode1
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
SpikingRTNH: Spiking Neural Network for 4D Radar Object DetectionCode0
ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition—0
An Optimal Cascade Feature-Level Spatiotemporal Fusion Strategy for Anomaly Detection in CAN Bus—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
Multi-view Structural Convolution Network for Domain-Invariant Point Cloud Recognition of Autonomous VehiclesCode0
The Components of Collaborative Joint Perception and Prediction -- A Conceptual Framework—0
Hybrid Quantum-Classical Multi-Agent Pathfinding—0
LiDAR-Based Vehicle Detection and Tracking for Autonomous Racing—0
TrajFlow: A Generative Framework for Occupancy Density Estimation Using Normalizing FlowsCode0
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Benchmark Results

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