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 10811090 of 2605 papers

TitleStatusHype
A Threefold Review on Deep Semantic Segmentation: Efficiency-oriented, Temporal and Depth-aware design0
CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions0
A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives0
AI Generations: From AI 1.0 to AI 4.00
CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening0
AIBA: An AI Model for Behavior Arbitration in Autonomous Driving0
CP-loss: Connectivity-preserving Loss for Road Curb Detection in Autonomous Driving with Aerial Images0
CP-Guard: Malicious Agent Detection and Defense in Collaborative Bird's Eye View Perception0
A taxonomy of strategic human interactions in traffic conflicts0
Adaptive Failure Search Using Critical States from Domain Experts0
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Benchmark Results

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