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

Showing 461470 of 2605 papers

TitleStatusHype
Angle of Arrival Estimation with Transformer: A Sparse and Gridless Method with Zero-Shot Capability0
Keep Calm and Relax -- HMI for Autonomous Vehicles0
A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers0
A Conflicts-free, Speed-lossless KAN-based Reinforcement Learning Decision System for Interactive Driving in Roundabouts0
Enhancing Expressway Ramp Merge Safety and Efficiency via Spatiotemporal Cooperative Control0
Transformers and Large Language Models for Efficient Intrusion Detection Systems: A Comprehensive Survey0
Coherence Awareness in Diffractive Neural NetworksCode0
MV2DFusion: Leveraging Modality-Specific Object Semantics for Multi-Modal 3D Detection0
Mitigating Metropolitan Carbon Emissions with Dynamic Eco-driving at Scale0
A Recurrent YOLOv8-based framework for Event-Based Object Detection0
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Benchmark Results

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