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 2226–2250 of 2605 papers

TitleStatusHype
Benchmarking Deep Learning Models for Object Detection on Edge Computing Devices—0
Benchmarks for Reinforcement Learning with Biased Offline Data and Imperfect Simulators—0
Benefits of V2V communication in connected and autonomous vehicles in the presence of delays in communicated signals—0
Between Innovation and Oversight: A Cross-Regional Study of AI Risk Management Frameworks in the EU, U.S., UK, and China—0
BEVMOSNet: Multimodal Fusion for BEV Moving Object Segmentation—0
BEVSeg2TP: Surround View Camera Bird's-Eye-View Based Joint Vehicle Segmentation and Ego Vehicle Trajectory Prediction—0
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems—0
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation—0
Beyond Empirical Windowing: An Attention-Based Approach for Trust Prediction in Autonomous Vehicles—0
Beyond One Model Fits All: Ensemble Deep Learning for Autonomous Vehicles—0
Beyond RMSE: Do machine-learned models of road user interaction produce human-like behavior?—0
BIDA: A Bi-level Interaction Decision-making Algorithm for Autonomous Vehicles in Dynamic Traffic Scenarios—0
Bi-directional Loop Closure for Visual SLAM—0
Bilateral Deep Reinforcement Learning Approach for Better-than-human Car Following Model—0
Bi-LSTM based Multi-Agent DRL with Computation-aware Pruning for Agent Twins Migration in Vehicular Embodied AI Networks—0
Black-box Adversarial Attacks in Autonomous Vehicle Technology—0
Blending Data-Driven Priors in Dynamic Games—0
Boosting LiDAR-based Semantic Labeling by Cross-Modal Training Data Generation—0
Bootstrapping confidence in future safety based on past safe operation—0
Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics—0
Bridging the Gap between Optimal Trajectory Planning and Safety-Critical Control with Applications to Autonomous Vehicles—0
Bridging the inference gap in Mutimodal Variational Autoencoders—0
Building BROOK: A Multi-modal and Facial Video Database for Human-Vehicle Interaction Research—0
Building Prior Knowledge: A Markov Based Pedestrian Prediction Model Using Urban Environmental Data—0
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles—0
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Benchmark Results

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