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 511–520 of 2605 papers

TitleStatusHype
Bayesian Learning-Based Adaptive Control for Safety Critical SystemsCode0
Bayesian Data Augmentation and Training for Perception DNN in Autonomous Aerial VehiclesCode0
A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement LearningCode0
G-PECNet: Towards a Generalizable Pedestrian Trajectory Prediction SystemCode0
Inverse++: Vision-Centric 3D Semantic Occupancy Prediction Assisted with 3D Object DetectionCode0
Joint 3D Proposal Generation and Object Detection from View AggregationCode0
Baidu Apollo Auto-Calibration System - An Industry-Level Data-Driven and Learning based Vehicle Longitude Dynamic Calibrating AlgorithmCode0
Interpretable Safety Validation for Autonomous VehiclesCode0
Backprop KF: Learning Discriminative Deterministic State EstimatorsCode0
InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information TheoryCode0
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Benchmark Results

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