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 1526–1550 of 2605 papers

TitleStatusHype
Bandwidth-Adaptive Feature Sharing for Cooperative LIDAR Object Detection—0
BCSSN: Bi-direction Compact Spatial Separable Network for Collision Avoidance in Autonomous Driving—0
Behavior Identification and Prediction for a Probabilistic Risk Framework—0
Behavior Planning at Urban Intersections through Hierarchical Reinforcement Learning—0
A Multi-Agent Reinforcement Learning Approach For Safe and Efficient Behavior Planning Of Connected Autonomous Vehicles—0
Behavior Planning of Autonomous Cars with Social Perception—0
Benchmark for Models Predicting Human Behavior in Gap Acceptance Scenarios—0
Benchmarking Adversarially Robust Quantum Machine Learning at Scale—0
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
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Benchmark Results

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