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

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Showing 531–540 of 2605 papers

TitleStatusHype
Camera-Based Localization and Enhanced Normalized Mutual Information—0
Calibration of Human Driving Behavior and Preference Using Naturalistic Traffic Data—0
A Comprehensive Eco-Driving Strategy for Connected and Autonomous Vehicles (CAVs) with Microscopic Traffic Simulation Testing Evaluation—0
CaDeT: a Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving—0
CacheMamba: Popularity Prediction for Mobile Edge Caching Networks via Selective State Spaces—0
Anomaly Detection in Traffic Scenes via Spatial-aware Motion Reconstruction—0
Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles—0
Building Trust in Autonomous Vehicles: Role of Virtual Reality Driving Simulators in HMI Design—0
An Objective Method for Pedestrian Occlusion Level Classification—0
Adversarial 3D Virtual Patches using Integrated Gradients—0
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Benchmark Results

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