Lane-based Prediction
Lane-Based Prediction is a trajectory prediction method that specifically models the future motion of traffic participants by leveraging lane topology as the primary structural constraint to differentiate it from general traffic prediction approaches.
41
Publications
1.9K
Citations
145
Authors
53
Institutions
Publications per year
2017–2026
33
41
3D-LaneNet: End-to-End 3D Multiple Lane Detection
Noa Garnett, Rafi Cohen, Tomer Pe'er et al. · 2019 · 204 citations
LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents
ByeoungDo Kim, Seong Hyeon Park, Seok-Hwan Lee et al. · 2021 · 111 citations
1–5 of 41
145
3
h-index
Korea Advanced Institute of Science and Technology, South Korea
3 publications · 267 citations
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 145
53
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
3 h-index
5 publications
423 citations
Wuhan University of Technology
Wuhan, China
3 h-index
9 publications
161 citations

Southeast University
Nanjing, China
3 h-index
8 publications
391 citations

Hanyang University
Seoul, South Korea
2 h-index
6 publications
578 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
2 h-index
5 publications
689 citations
Beijing Jiaotong University
Beijing, China
2 h-index
4 publications
534 citations
Alibaba Group (United States)
San Mateo, United States
1 h-index
4 publications
304 citations

Mazda Motor Corporation (Japan)
Hiroshima, Japan
1 h-index
3 publications
57 citations
1–8 of 53
3 publications · 143 citations
3
h-index
3 publications · 195 citations
3
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3 publications · 299 citations
3
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2 publications · 33 citations
2
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1 publications · 25 citations
1
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1–5