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 1951–1960 of 2605 papers

TitleStatusHype
Socially-Compatible Behavior Design of Autonomous Vehicles with Verification on Real Human Data—0
Collective Awareness for Abnormality Detection in Connected Autonomous Vehicles—0
Global Image Segmentation Process using Machine Learning algorithm & Convolution Neural Network method for Self- Driving Vehicles—0
A Software Architecture for Autonomous Vehicles: Team LRM-B Entry in the First CARLA Autonomous Driving Challenge—0
Keep your Eyes on the Lane: Real-time Attention-guided Lane DetectionCode1
Bandwidth-Adaptive Feature Sharing for Cooperative LIDAR Object Detection—0
Trajectory Prediction using Equivariant Continuous Convolution—0
A Lane Merge Coordination Model for a V2X Scenario—0
Pedestrian Intention Prediction: A Multi-task PerspectiveCode1
RONELD: Robust Neural Network Output Enhancement for Active Lane DetectionCode1
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Benchmark Results

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