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 631640 of 2605 papers

TitleStatusHype
S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles0
An Online Spatial-Temporal Graph Trajectory Planner for Autonomous Vehicles0
Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-DistillationCode1
Developing Situational Awareness for Joint Action with Autonomous Vehicles0
How to deal with glare for improved perception of Autonomous Vehicles0
VBR: A Vision Benchmark in RomeCode2
Characterization and Mitigation of Insufficiencies in Automated Driving Systems0
Characterizing Soft-Error Resiliency in Arm's Ethos-U55 Embedded Machine Learning Accelerator0
Benefits of V2V communication in connected and autonomous vehicles in the presence of delays in communicated signals0
Voice-Assisted Real-Time Traffic Sign Recognition System Using Convolutional Neural Network0
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Benchmark Results

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