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 531540 of 2605 papers

TitleStatusHype
Importance-Aware Semantic Segmentation with Efficient Pyramidal Context Network for Navigational Assistant SystemsCode0
Improving Panoptic Segmentation for Nighttime or Low-Illumination Urban Driving ScenesCode0
Intention Recognition of Pedestrians and Cyclists by 2D Pose EstimationCode0
Joint Monocular 3D Vehicle Detection and TrackingCode0
Autonomous Vehicle Control: End-to-end Learning in Simulated Urban EnvironmentsCode0
Hybrid Reasoning Based on Large Language Models for Autonomous Car DrivingCode0
Horus: Using Sensor Fusion to Combine Infrastructure and On-board Sensing to Improve Autonomous Vehicle SafetyCode0
How Do We Fail? Stress Testing Perception in Autonomous VehiclesCode0
High-Resolution Traffic Sensing with Autonomous VehiclesCode0
HP-GAN: Probabilistic 3D human motion prediction via GANCode0
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Benchmark Results

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