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 1001–1025 of 2605 papers

TitleStatusHype
Decision-Making for Autonomous Vehicles with Interaction-Aware Behavioral Prediction and Social-Attention Neural Network—0
Finetuning Pre-trained Model with Limited Data for LiDAR-based 3D Object Detection by Bridging Domain Gaps—0
Finite Time Exact Quantized Average Consensus with Limited Resources and Transmission Stopping for Energy-Aware Networks—0
SL1-Simplex: Safe Velocity Regulation of Self-Driving Vehicles in Dynamic and Unforeseen Environments—0
Finite-Time Stabilization of Longitudinal Control for Autonomous Vehicles via a Model-Free Approach—0
CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles—0
First qualitative observations on deep learning vision model YOLO and DETR for automated driving in Austria—0
Automated Data Curation Using GPS & NLP to Generate Instruction-Action Pairs for Autonomous Vehicle Vision-Language Navigation Datasets—0
Co-Design to Enable User-Friendly Tools to Assess the Impact of Future Mobility Solutions—0
Flexible MPC-based Conflict Resolution Using Online Adaptive ADMM—0
Adaptive Pulse Compression for Sidelobes Reduction in Stretch Processing based MIMO Radars—0
Decision-making for Autonomous Vehicles on Highway: Deep Reinforcement Learning with Continuous Action Horizon—0
Decision Making for Autonomous Vehicles—0
Flow-level Coordination of Connected and Autonomous Vehicles in Multilane Freeway Ramp Merging Areas—0
FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks—0
Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs—0
FluidML: Fast and Memory Efficient Inference Optimization—0
FMM-X3D: FPGA-based modeling and mapping of X3D for Human Action Recognition—0
aUToLights: A Robust Multi-Camera Traffic Light Detection and Tracking System—0
Affordance Learning In Direct Perception for Autonomous Driving—0
Coherent, super resolved radar beamforming using self-supervised learning—0
Decision-making at Unsignalized Intersection for Autonomous Vehicles: Left-turn Maneuver with Deep Reinforcement Learning—0
Decentralized Vehicle Coordination and Lane Switching without Switching of Controllers—0
AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving—0
A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing—0
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Benchmark Results

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